<?xml version="1.0" encoding="utf-8"?><rss version="2.0" xmlns:dataField="https://www.inteum.com/technologies/data/"><channel><title>Latest technologies from Canberra IP</title><link>https://www.canberra-ip.com</link><description>Be the first to know about the latest inventions and technologies available from Canberra IP</description><language>en-US</language><pubDate>Tue, 12 May 2026 09:21:25 GMT</pubDate><lastBuildDate>Tue, 12 May 2026 09:21:25 GMT</lastBuildDate><docs>https://cyber.harvard.edu/rss/rss.html</docs><webMaster>support@inteum.com</webMaster><copyright>Copyright 2026, Canberra IP</copyright><item><title>Robossis Alpha</title><link>https://www.canberra-ip.com/tech/Robossis_Alpha</link><description><![CDATA[<p class="NCSSectionHeading"><strong>Technology Description: </strong>Robossis Alpha is a surgical robotic system for orthopedic trauma procedures involving long-bone fractures. These procedures often rely on manual traction, surgeon experience, and repeated fluoroscopic imaging, which can contribute to variable alignment, longer cases, and radiation exposure. The system combines a compact surgical robot, adaptive motion cart, bone attachment approach, and surgeon-facing controls to support controlled reduction, accurate alignment, and guided instrument positioning in workflows such as intramedullary (IM) nailing.</p>

<p class="NCSSectionHeading">&nbsp;</p>

<p class="NCSSectionHeading"><strong>Potential Applications / Applicability: </strong>Orthopedic trauma surgery; femur, tibia, and humerus fracture reduction; intramedullary (IM) nailing; trauma centers; teaching hospitals; surgical robotics development.</p>

<p class="NCSSectionHeading">&nbsp;</p>

<p class="NCSSectionHeading"><strong>Key Benefits:</strong></p>

<ul>
	<li class="MsoListBulletCxSpFirst" >Purpose-built for long-bone fracture workflows rather than elective joint replacement or spine procedures.</li>
	<li class="MsoListBulletCxSpMiddle" >Controlled robotic alignment supports reproducible fracture reduction with less reliance on manual traction and repeated fluoroscopic imaging.</li>
	<li class="MsoListBulletCxSpMiddle" >Compact positioning and telescopic/adaptive motion features support surgeon access, C-arm imaging, and operating-room workflow.</li>
</ul>

<p class="MsoListBulletCxSpLast" >&nbsp;</p>

<p class="NCSSectionHeading"><strong>Opportunity: </strong>Rowan is seeking licensing, collaboration, and co-development partners in orthopedic devices, surgical robotics, navigation, and trauma-care workflows. Partner engagement may support engineering refinement, workflow validation, regulatory planning, and commercialization; patent application pending.</p>

<p class="NCSSectionHeading">&nbsp;</p>

<p class="NCSSectionHeading"><strong>Development Status: </strong>Robossis Alpha is at the prototype/preclinical stage. Prototype hardware and workflow concepts have been evaluated in cadaver-lab femur fracture reduction and intramedullary nailing workflows, with further work focused on engineering refinement, usability optimization, validation, and regulatory clearance.</p>

<p class="NCSSectionHeading"><strong><img alt="" src="https://robossis.com/" />Patent information:</strong> Patent Pending<img alt="" src="https://robossis.com/" /></p>]]></description><pubDate>Mon, 11 May 2026 18:57:14 GMT</pubDate><author>otc@rowan.edu</author><guid>https://www.canberra-ip.com/tech/Robossis_Alpha</guid><dataField:caseId>261012</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 20:09:09 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Mohammad</dataField:firstName><dataField:lastName>Abedin-Nasab</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>Biomedical Engineering</dataField:department><dataField:emailAddress>abedin@rowan.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Neal</dataField:firstName><dataField:lastName>Lemon</dataField:lastName><dataField:title>Associate Vice President</dataField:title><dataField:department>Office of Technology Commercialization</dataField:department><dataField:emailAddress>lemonna@rowan.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Engineering</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Fluorous Gated Field-Effect Transistor Sensors for PFAS Detection</title><link>https://www.canberra-ip.com/tech/Fluorous_Gated_Field-Effect_Transistor_Sensors_for_PFAS_Detection</link><description><![CDATA[<p class="NCSSectionHeading"><strong>Technology Description: </strong></p>

<p class="NCSSectionHeading">Per- and polyfluoroalkyl substances (PFAS) are persistent water contaminants that are difficult to monitor outside centralized laboratories. Standard analytical workflows can be sensitive but often require specialized instruments, trained personnel, sample handling, and turnaround time that limit real-time decision-making in the field. There is a need for practical, selective, and affordable PFAS screening tools for water utilities, environmental testing, remediation, industrial compliance, and community water-quality monitoring.</p>

<p>Rowan&rsquo;s technology is a fluorous-interface gated field-effect transistor (FET) sensing platform for detecting PFAS and related fluorinated compounds in water. The sensor uses a fluorous gate interface to preferentially interact with fluorinated analytes and convert those interactions into measurable electrical signals. Configurations can support electrical readout alone or a dual electrical and optical response using fluorinated polyaniline (F-PANI), enabling portable, label-free field measurements with built-in signal confirmation.</p>

<p>&nbsp;</p>

<p class="NCSSectionHeading"><strong>Potential Applications / Applicability: </strong></p>

<p class="NCSSectionHeading">On-site PFAS screening for drinking water, groundwater, surface water, wastewater, and industrial effluent; continuous monitoring for water utilities and wastewater treatment plants; remediation and filtration process monitoring; environmental compliance and field research; integration into handheld water-testing kits or distributed sensor networks.</p>

<p class="NCSSectionHeading">&nbsp;</p>

<p class="NCSSectionHeading"><strong>Key Benefits:</strong></p>

<ul>
	<li class="MsoListBulletCxSpFirst" >Enables real-time, field-deployable PFAS screening in water to support faster monitoring and response decisions.</li>
	<li class="MsoListBulletCxSpMiddle" >Leverages fluorous-interface sensing chemistry to improve selectivity for PFAS and related fluorinated compounds without biological receptors.</li>
	<li class="MsoListBulletCxSpLast" >Supports portable, low-power operation with electrical readout and optional dual electrical/optical confirmation for improved confidence in measurements.</li>
</ul>

<p class="NCSSectionHeading">&nbsp;</p>

<p class="NCSSectionHeading"><strong>Opportunity:</strong></p>

<p>Rowan University seeks licensing, sponsored research, field-testing, and product-development partners to advance this PFAS sensing platform toward portable water-quality monitoring products and distributed sensing systems. Candidate partners include environmental sensor manufacturers, water utilities, environmental testing laboratories, remediation companies, industrial water-quality monitoring providers, and organizations developing IoT-enabled environmental monitoring networks. Patent application pending.</p>

<p class="NCSSectionHeading">&nbsp;</p>

<p class="NCSSectionHeading"><strong>Development Status: </strong></p>

<p class="NCSSectionHeading">Initial laboratory validation and prototype development are underway for the fluorous-interface FET sensing platform, including functionalized F-PANI interfaces and extended-gate electrical readout. Optimization is focused on sensitivity, selectivity, reproducibility, aqueous stability, miniaturization, and field validation.</p>

<p class="NCSSectionHeading"><strong>Patent Information:</strong> Patent Pending</p>]]></description><pubDate>Mon, 11 May 2026 18:52:41 GMT</pubDate><author>otc@rowan.edu</author><guid>https://www.canberra-ip.com/tech/Fluorous_Gated_Field-Effect_Transistor_Sensors_for_PFAS_Detection</guid><dataField:caseId>261007</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 20:09:52 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Dongmei</dataField:firstName><dataField:lastName>Dong</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department><![CDATA[Physics & Astronomy]]></dataField:department><dataField:emailAddress>dongd@rowan.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Detection, Plastics, Sensor, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Neal</dataField:firstName><dataField:lastName>Lemon</dataField:lastName><dataField:title>Associate Vice President</dataField:title><dataField:department>Office of Technology Commercialization</dataField:department><dataField:emailAddress>lemonna@rowan.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Environment</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Bio-Based Water-Soluble Corrosion Inhibitor</title><link>https://www.canberra-ip.com/tech/Bio-Based_Water-Soluble_Corrosion_Inhibitor</link><description><![CDATA[<div ><strong>Invention Description</strong></div>

<div >Corrosion of steel in industrial environments such as oil and gas, water treatment, and marine systems leads to significant economic losses and infrastructure damage. Many conventional corrosion inhibitors are petroleum-based, non-biodegradable, and pose environmental and safety concerns. Additionally, these chemicals may not perform effectively in aqueous or semi-aqueous conditions where corrosion is most prevalent. This creates a need for sustainable, high-performance corrosion inhibitors that are both environmentally friendly and effective in harsh conditions.</div>

<div >&nbsp;</div>

<div >Researchers at Arizona State University have developed an environmentally-friendly, biodegradable composition, derived from modifying a bio-based waste, to produce an amphiphilic corrosion inhibitor that significantly protects carbon steel pipelines against corrosion and microbial-induced degradation. The modification process enhances water dispersibility and adsorption strength on carbon steel and other metal surfaces, forming a compact protective film that suppresses electrochemical corrosion processes. It offers strong adhesion and excellent water solubility for use in harsh and aqueous environments. Because it was designed especially for use in corrosive environments, this inhibitor demonstrates high efficiency&mdash;exceeding 96%&mdash;and excellent industrial applicability. Further, by upcycling waste materials, the technology aligns with circular economy principles while delivering improved corrosion protection compared to traditional inhibitors.</div>

<div >&nbsp;</div>

<div >This eco-friendly, corrosion inhibitor successfully protects metal surfaces, making it well-suited for a range of industrial applications, including oil and gas, water systems, and marine infrastructure.</div>

<div >&nbsp;</div>

<div ><strong>Potential Applications</strong></div>

<ul>
	<li >Corrosion protection for oil and gas pipelines and infrastructure</li>
	<li >Water treatment plants and distribution systems</li>
	<li >Marine infrastructure and offshore platforms</li>
	<li >Industrial cooling and processing equipment</li>
	<li >Storage tanks and refineries</li>
	<li >Industrial applications requiring corrosion protection in wet, acidic, or gas-rich environments</li>
</ul>

<div ><strong>Benefits and Advantages</strong></div>

<ul>
	<li >Demonstrated performance through multiple characterization techniques (FTIR, SEM, EIS, polarization)</li>
	<li >Biodegradable and derived from renewable waste resources, reducing environmental impact</li>
	<li >The molecular structure improves water compatibility and adsorption to metal surface</li>
	<li >Forms a uniform, defect-resistant protective barrier film enhancing durability</li>
	<li >Effective in corrosive environments with CO2, H2S, and moisture</li>
	<li >Compatible with standard industrial equipment and processes</li>
	<li >Scalable and cost-effective synthesis using common reagents</li>
	<li >Eliminates the need for hazardous organic solvents</li>
	<li >Suppresses microbial activities when combined with natural biocides, addressing MIC challenges</li>
</ul>]]></description><pubDate>Mon, 11 May 2026 17:39:36 GMT</pubDate><author>ip@skysonginnovations.com</author><guid>https://www.canberra-ip.com/tech/Bio-Based_Water-Soluble_Corrosion_Inhibitor</guid><dataField:caseId>M26-049P^</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 17:39:36 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Shuguang</dataField:firstName><dataField:lastName>Deng</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>SEMTE</dataField:department><dataField:emailAddress>shuguang.deng@asu.edu</dataField:emailAddress><dataField:phoneNumber>4807277238</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Mohammadjavad</dataField:firstName><dataField:lastName>Kazemi</dataField:lastName><dataField:title>Graduate Research Associate</dataField:title><dataField:department>School of Sustainable Engineering and the Built Environment</dataField:department><dataField:emailAddress>mkazemi1@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Sai</dataField:firstName><dataField:lastName>Niranjan Narendra</dataField:lastName><dataField:title>Graduate Research Assistant</dataField:title><dataField:department>SEMTE</dataField:department><dataField:emailAddress>niranjan04072001@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Yongming</dataField:firstName><dataField:lastName>Liu</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>School for Engineering of Matter, Transport and Energy</dataField:department><dataField:emailAddress>yongming.liu@asu.edu</dataField:emailAddress><dataField:phoneNumber>4809656883</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Elham</dataField:firstName><dataField:lastName>Fini</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>SSEBE</dataField:department><dataField:emailAddress>efini@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Physical Sciences</dataField:firstName><dataField:lastName>Team</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Advanced Materials/Nanotechnology| Biomaterials| Energy & Power| Physical Science]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Inhaled dry powders of nucleic acid-polymer polyplexes</title><link>https://www.canberra-ip.com/tech/Inhaled_dry_powders_of_nucleic_acid-polymer_polyplexes</link><description><![CDATA[<h2>Eliminates mRNA cold chain delivering inhalable powders with 71% aerosol efficiency.</h2>

<p><br />
This technology creates stable, inhalable dry powders of mRNA-polymer complexes using thin-film freeze-drying, enabling room-temperature storage and efficient pulmonary delivery of RNA therapeutics, including CRISPR, for treating lung diseases without the need for cold chain logistics.</p>

<h2>Background</h2>

<p>Messenger RNA (mRNA) therapeutics represent a transformative medical field, offering rapid and transient protein expression without the risks of DNA integration. This makes mRNA highly attractive for vaccination, gene editing, and protein replacement therapies. A particularly promising area is pulmonary delivery, which targets treatments directly to the lungs for respiratory diseases. To maximize clinical impact, there is a critical need for delivery systems that are effective, portable, and patient-friendly, ensuring treatments can be easily administered outside specialized clinical settings.</p>

<p>Despite this potential, current pulmonary mRNA delivery methods face significant logistical and functional hurdles. Existing formulations primarily rely on liquid mRNA-polyplex suspensions, which suffer from severe instability and are highly sensitive to freezing-induced aggregation. Consequently, these liquids mandate strict, costly cold chain storage. Furthermore, administering these therapies requires nebulizers. Nebulization is inherently time-consuming, heavily device-dependent, and often yields inconsistent aerosolization efficiency. The reliance on bulky nebulizer equipment restricts patient mobility and convenience, ultimately leading to poor patient compliance and limiting the widespread viability of current pulmonary RNA treatments.</p>

<h2>Technology Description</h2>

<p>This technology provides inhalable dry powders of messenger RNA (mRNA)-polymer polyplexes, created through a specialized thin-film freeze-drying (TFFD) process. Engineered for highly efficient pulmonary delivery, the optimized formulations incorporate a specific blend of trehalose, maltitol, and leucine. This composition achieves a delivered fine particle fraction of 71% and a mass median aerodynamic diameter of 1.6 &mu;m for optimal lung penetration. The platform supports high RNA loading capacities by maintaining low polymer-to-excipient ratios. Highly versatile, the technology is validated across multiple RNA modalities, including CRISPR components, making it a robust vehicle for targeted respiratory therapies.</p>

<p>This solution is differentiated by its ability to overcome the severe limitations of traditional liquid mRNA formulations. Unlike conventional liquid polyplexes that require strict cold chain storage, these dry powders remain stable at room temperature for at least three months. Furthermore, the technology eliminates the need for bulky, time-consuming nebulizers, offering a portable alternative with consistent aerosolization. Uniquely, contrary to typical TFFD powders, increasing the solid content in this formulation actually improves its aerosol performance. By preserving the biological activity of the polyplexes without requiring refrigeration, this platform significantly advances the accessibility and commercial viability of pulmonary RNA therapeutics.</p>

<h2>Benefits</h2>

<ul>
	<li>Eliminates the need for cold chain storage by remaining stable at room temperature for at least three months.</li>
	<li>Maintains the structural, functional, and biological integrity of the mRNA-polyplexes.</li>
	<li>Provides highly efficient and consistent pulmonary delivery with optimized aerosol properties (e.g., 71% fine particle fraction).</li>
	<li>Improves patient convenience and adherence by replacing bulky, time-consuming nebulizers with portable dry powders.</li>
	<li>Enables high RNA loading capacities due to low polymer-to-excipient ratios.</li>
	<li>Offers versatility by supporting multiple RNA modalities, including mRNA and CRISPR gene-editing components.</li>
</ul>

<h2>Commercial Applications</h2>

<ul>
	<li>Inhalable respiratory mRNA vaccines</li>
	<li>Pulmonary CRISPR gene editing</li>
	<li>Lung protein replacement therapies</li>
	<li>Respiratory immune modulation therapies</li>
	<li>Room-temperature RNA therapeutics</li>
</ul>

<h2>Additional Information</h2>

<p>These inhalable dry powders of mRNA-polymer polyplexes are produced via thin-film freeze-drying. They maintain structural integrity at room temperature for over three months, eliminating cold chain requirements. Optimized with trehalose, maltitol, and leucine, the formulation achieves a 71% fine particle fraction and 1.6 &mu;m aerodynamic diameter. Higher solid content uniquely improves aerosol performance. This technology enables efficient pulmonary delivery of RNA modalities, including CRISPR components.</p>

<p><br />
Provisional Patent 64/023,636 filed 03/31/2026</p>

<p>&nbsp;</p>]]></description><pubDate>Mon, 11 May 2026 15:36:08 GMT</pubDate><author>intranet@discoveries.utexas.edu</author><guid>https://www.canberra-ip.com/tech/Inhaled_dry_powders_of_nucleic_acid-polymer_polyplexes</guid><dataField:caseId>8894 CUI</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 15:36:50 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Zhengrong</dataField:firstName><dataField:lastName>Cui</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>Coillege of Pharmacy</dataField:department><dataField:emailAddress>zhengrong.cui@austin.utexas.edu</dataField:emailAddress><dataField:phoneNumber>512-495-4758</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Bhupendra</dataField:firstName><dataField:lastName>Giri</dataField:lastName><dataField:title>Graduate student</dataField:title><dataField:department>Molecular pharmaceutics and drug delivery</dataField:department><dataField:emailAddress>bhupendra@utexas.edu</dataField:emailAddress><dataField:phoneNumber>512-471-4841</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Philip</dataField:firstName><dataField:lastName>Santangelo</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>philip.j.santangelo@emory.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Chiara</dataField:firstName><dataField:lastName>Zurla</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>chiara.zurla@emory.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Donald</dataField:firstName><dataField:lastName>Owens</dataField:lastName><dataField:title>Research Fellow</dataField:title><dataField:department>Chemical Engineering</dataField:department><dataField:emailAddress>don.e.owens@gmail.com</dataField:emailAddress><dataField:phoneNumber>512-471-4757</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Gregory</dataField:firstName><dataField:lastName>Davenport</dataField:lastName><dataField:title><![CDATA[CEO & Principal]]></dataField:title><dataField:department></dataField:department><dataField:emailAddress>gdavenport@dportfederal.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Chaeho</dataField:firstName><dataField:lastName>Moon</dataField:lastName><dataField:title>Graduate Research Assistant</dataField:title><dataField:department>College of Pharmacy</dataField:department><dataField:emailAddress>chaehomoon@utexas.edu</dataField:emailAddress><dataField:phoneNumber>512 471 8469</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Jacob</dataField:firstName><dataField:lastName>Grohman</dataField:lastName><dataField:title>Business Development Specialist</dataField:title><dataField:department>Life Sciences</dataField:department><dataField:emailAddress>jacob.grohman@discoveries.utexas.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life sciences > Therapeutics > Drug delivery| Life sciences > Therapeutics > Formulation]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Plant-based Seafood and Method of Making Thereof</title><link>https://www.canberra-ip.com/tech/Plant-based_Seafood_and_Method_of_Making_Thereof</link><description><![CDATA[<p></p>

<p class="Normal">PRODUCT OPPORTUNITIES</p>

<p class="Normal"></p>

<ul >
	<li class="Normal "  value="1">Plant-based seafood products, such as plant-based fish, scallops, foie gras, and shellfish</li>
</ul>

<p class=" Normal" >&nbsp;</p>

<p class="Normal"></p>

<p class="Normal">COMPETITIVE ADVANTAGES </p>

<p class="Normal"></p>

<ul >
	<li class="Normal "  value="1">Sustainable</li>
	<li class="Normal "  value="1">Safe, plant-derived ingredients</li>
	<li class="Normal "  value="2">Free of seafood allergens and soy allergen</li>
	<li class="Normal "  value="3">Simple manufacturing process that does not involve expensive or energy-intensive equipment</li>
</ul>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">TECHNOLOGY DESCRIPTION</p>

<p class="Normal">This invention provides a novel method to produce structured, plant-based seafood analogs from alternative (non-animal) proteins and polysaccharides. Such seafood analogs have microscopic structures and bulk physicochemical properties, such as appearance, texture, and water holding capacity, that mimic those of real seafood products.</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">ABOUT THE LEAD INVENTOR</p>

<p class="Normal"></p>

<p class="Normal">Dr. D. Julian McClements is a Distinguished Professor in the Department of Food Science at the University of Massachusetts Amherst. His research interests include plant-based foods, natural ingredients, food biopolymers and colloids, oral delivery systems, gastrointestinal fate of nutrients and nutraceuticals, and food nanotechnolgy. He has published over 1200 scientific articles in peer-reviewed journals, and is the co-editor of Annual Reviews in Food Science and Technology and a member of the editorial boards of a number of other journals.</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">AVAILABILITY: </p>

<p class="Normal">Available for Licensing and/or Sponsored Research</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">DOCKET: </p>

<p class="Normal">UMA 22-038</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">PATENT STATUS: </p>

<p class="Normal">Patent Pending</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">NON-CONFIDENTIAL INVENTION DISCLOSURE</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">LEAD INVENTOR: </p>

<p class="Normal"></p>

<p class="Normal">D. Julian McClements, Ph.D.</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">&nbsp;</p>

<p class="Normal">CONTACT: </p>

<p class="Normal">&nbsp;</p>

<p class="Normal">This invention provides a novel method to produce structured, plant-based seafood analogs from alternative (non-animal) proteins and polysaccharides. Such seafood analogs have microscopic structures and bulk physicochemical properties, such as appearance, texture, and water holding capacity, that mimic those of real seafood products.</p>]]></description><pubDate>Mon, 11 May 2026 14:50:20 GMT</pubDate><author>tto@umass.edu</author><guid>https://www.canberra-ip.com/tech/Plant-based_Seafood_and_Method_of_Making_Thereof</guid><dataField:caseId>UMA 22-038 MCCLEMENTS</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 14:50:20 GMT</dataField:lastUpdateDate><dataField:Item1Image></dataField:Item1Image><dataField:Item1Header>PRODUCT OPPORTUNITIES</dataField:Item1Header><dataField:Item1><![CDATA[</span></p>

<ul style="list-style-type:disc">
	<li class="Normal " style="margin-right: 0px;margin-left: 24px;text-indent: 0px;font-family: 'Verdana';font-style: Normal;font-weight: normal;font-size: 16px;color: #000000;" value="1"><span style="color:#000000; font-family:'Calibri'; font-size:16px; font-style:Normal; font-weight:normal">Plant-based seafood products, such as plant-based fish, scallops, foie gras, and shellfish</span><span style="color:#000000; font-family:'Calibri'; font-size:16px; font-style:Normal; font-weight:normal">]]></dataField:Item1><dataField:AdvantagesImage></dataField:AdvantagesImage><dataField:AdvantagesHeader>COMPETITIVE ADVANTAGES</dataField:AdvantagesHeader><dataField:Advantages><![CDATA[</span></p>

<ul style="list-style-type:disc">
	<li class="Normal " style="margin-right: 0px;margin-left: 24px;text-indent: 0px;font-family: 'Verdana';font-style: Normal;font-weight: normal;font-size: 16px;color: #000000;" value="1"><span style="color:#000000; font-family:'Calibri'; font-size:16px; font-style:Normal; font-weight:normal">Sustainable</span></li>
	<li class="Normal " style="margin-right: 0px;margin-left: 24px;text-indent: 0px;font-family: 'Verdana';font-style: Normal;font-weight: normal;font-size: 16px;color: #000000;" value="1"><span style="color:#000000; font-family:'Calibri'; font-size:16px; font-style:Normal; font-weight:normal">Safe, plant-derived ingredients</span></li>
	<li class="Normal " style="margin-right: 0px;margin-left: 24px;text-indent: 0px;font-family: 'Verdana';font-style: Normal;font-weight: normal;font-size: 16px;color: #000000;" value="2"><span style="color:#000000; font-family:'Calibri'; font-size:16px; font-style:Normal; font-weight:normal">Free of seafood allergens and soy allergen</span></li>
	<li class="Normal " style="margin-right: 0px;margin-left: 24px;text-indent: 0px;font-family: 'Verdana';font-style: Normal;font-weight: normal;font-size: 16px;color: #000000;" value="3"><span style="color:#000000; font-family:'Calibri'; font-size:16px; font-style:Normal; font-weight:normal">Simple manufacturing process that does not involve expensive or energy-intensive equipment</span><span style="font-family:'Calibri'; font-size:16px; font-style:Normal">]]></dataField:Advantages><dataField:Item3Image></dataField:Item3Image><dataField:Item3Header>TECHNOLOGY DESCRIPTION</dataField:Item3Header><dataField:Item3>This invention provides a novel method to produce structured, plant-based seafood analogs from alternative (non-animal) proteins and polysaccharides. Such seafood analogs have microscopic structures and bulk physicochemical properties, such as appearance, texture, and water holding capacity, that mimic those of real seafood products.</dataField:Item3><dataField:AboutTheInventorHeader><![CDATA[ABOUT THE LEAD INVENTOR</span></p>

<p class="Normal"><span style="font-family:'Calibri'; font-size:16px; font-style:Normal">]]></dataField:AboutTheInventorHeader><dataField:AboutTheInventor>Dr. D. Julian McClements is a Distinguished Professor in the Department of Food Science at the University of Massachusetts Amherst. His research interests include plant-based foods, natural ingredients, food biopolymers and colloids, oral delivery systems, gastrointestinal fate of nutrients and nutraceuticals, and food nanotechnolgy. He has published over 1200 scientific articles in peer-reviewed journals, and is the co-editor of Annual Reviews in Food Science and Technology and a member of the editorial boards of a number of other journals.</dataField:AboutTheInventor><dataField:AvailabilityHeader>AVAILABILITY:</dataField:AvailabilityHeader><dataField:Availability>Available for Licensing and/or Sponsored Research</dataField:Availability><dataField:DocketHeader>DOCKET:</dataField:DocketHeader><dataField:CaseId>UMA 22-038</dataField:CaseId><dataField:PatentStatusHeader>PATENT STATUS:</dataField:PatentStatusHeader><dataField:PatentStatus>Patent Pending</dataField:PatentStatus><dataField:NCID_NCTD_PDF_Header>NON-CONFIDENTIAL INVENTION DISCLOSURE</dataField:NCID_NCTD_PDF_Header><dataField:LeadInventorNameHeader>LEAD INVENTOR:</dataField:LeadInventorNameHeader><dataField:LeadInventorName><![CDATA[</span></p>

<p class="Normal"><span style="font-family:'Calibri'; font-size:16px; font-style:Normal">D. Julian McClements, Ph.D.]]></dataField:LeadInventorName><dataField:ContactHeader_PDF>CONTACT:</dataField:ContactHeader_PDF><dataField:SearchResultsTechnologyDescription>This invention provides a novel method to produce structured, plant-based seafood analogs from alternative (non-animal) proteins and polysaccharides. Such seafood analogs have microscopic structures and bulk physicochemical properties, such as appearance, texture, and water holding capacity, that mimic those of real seafood products.</dataField:SearchResultsTechnologyDescription><dataField:inventorList><dataField:inventor><dataField:firstName>David Julian</dataField:firstName><dataField:lastName>McClements</dataField:lastName><dataField:title>Distinguished Professor</dataField:title><dataField:department>Food Science</dataField:department><dataField:emailAddress>mcclements@foodsci.umass.edu</dataField:emailAddress><dataField:phoneNumber>413-545-2275</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Zhiyun</dataField:firstName><dataField:lastName>Zhang</dataField:lastName><dataField:title>Post-Doc former Graduate Student</dataField:title><dataField:department>Food Science</dataField:department><dataField:emailAddress>zhiyunzhang@foodsci.umass.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Hung (Harry)</dataField:firstName><dataField:lastName>Pham</dataField:lastName><dataField:title>Undergrad student</dataField:title><dataField:department>Food Science</dataField:department><dataField:emailAddress>hvpham@umass.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Kanon</dataField:firstName><dataField:lastName>Kobata</dataField:lastName><dataField:title>Undergrad student</dataField:title><dataField:department>Food Science</dataField:department><dataField:emailAddress>kkobata@umass.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Nikki</dataField:firstName><dataField:lastName>Hoang</dataField:lastName><dataField:title>Licensing Officer</dataField:title><dataField:department>Technology Transfer Office</dataField:department><dataField:emailAddress>nikkihoang@research.umass.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Food technology & plant science]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Utilization of Machine Learning to Identify Lower Extremity Biomechanical Predictors of Rupture in a Validated Cadaveric Model of ACL Injury</title><link>https://www.canberra-ip.com/tech/Utilization_of_Machine_Learning_to_Identify_Lower_Extremity_Biomechanical_Predictors_of_Rupture_in_a_Validated_Cadaveric_Model_of_ACL_Injury</link><description><![CDATA[<h2 >Advantages</h2>

<ul>
	<li >Predicts injury risk proactively, moving beyond reactive post-injury diagnostic approaches</li>
	<li >Enables continuous real-time risk monitoring seamlessly through compatible wearable sensor technology</li>
	<li >Delivers up to 95% predictive accuracy using advanced machine learning classification models</li>
	<li >Extends beyond ACL injuries to monitor and predict other musculoskeletal injury risks</li>
</ul>

<h2 >Summary</h2>

<p >ACL injuries leave athletes, military personnel, and active individuals facing severe, long-term biomechanical deficits and a heightened risk of early-onset osteoarthritis. Yet current diagnostic approaches remain entirely reactive, relying on physical examinations and imaging only after the ligament has already torn. With no tools to detect imminent failure in real-world environments, practitioners cannot intervene before catastrophic, lifelong damage occurs.</p>

<p >This machine learning system shifts ACL injury management from reactive to proactive by analyzing early-phase biomechanical forces in the first milliseconds of ground contact. It translates complex multiplanar load data into a streamlined feature set compatible with wearable sensors, enabling continuous, field-deployable risk monitoring. Its binary classification approach merges pre-rupture and rupture states to enhance model robustness, delivering a practical, real-time feedback mechanism that helps protect athletes and military personnel before injury strikes.</p>

<p ><img src="https://usf.technologypublisher.com/files/sites/image1997.png"  /></p>

<h2 >Desired Partnerships</h2>

<ul>
	<li >License</li>
	<li >Sponsored Research</li>
	<li >Co-Development</li>
</ul>]]></description><pubDate>Mon, 11 May 2026 08:32:17 GMT</pubDate><author>cabrigo@usf.edu</author><guid>https://www.canberra-ip.com/tech/Utilization_of_Machine_Learning_to_Identify_Lower_Extremity_Biomechanical_Predictors_of_Rupture_in_a_Validated_Cadaveric_Model_of_ACL_Injury</guid><dataField:caseId>26T159</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 20:34:52 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Parsa</dataField:firstName><dataField:lastName>Khorrami</dataField:lastName><dataField:title></dataField:title><dataField:department>Computer Science and Engineering</dataField:department><dataField:emailAddress>parsak@usf.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Taofeek</dataField:firstName><dataField:lastName>Braimoh</dataField:lastName><dataField:title></dataField:title><dataField:department>USF World</dataField:department><dataField:emailAddress>taofeek@usf.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Nathaniel</dataField:firstName><dataField:lastName>Bates</dataField:lastName><dataField:title></dataField:title><dataField:department>Orthopaedics</dataField:department><dataField:emailAddress>nate.bates@osumc.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Dayane</dataField:firstName><dataField:lastName>Reis</dataField:lastName><dataField:title></dataField:title><dataField:department>Computer Science and Engineering</dataField:department><dataField:emailAddress>dayane3@usf.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Nathan</dataField:firstName><dataField:lastName>Schilaty</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>Morsani College of Medicine</dataField:department><dataField:emailAddress>nschilaty@usf.edu</dataField:emailAddress><dataField:phoneNumber>813-974-1377</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>John</dataField:firstName><dataField:lastName>Templeton</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>Computer Science and Engineering</dataField:department><dataField:emailAddress>jtemplet@usf.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Biomechanics, Machine Learning, Sensors, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Charan</dataField:firstName><dataField:lastName>Reddy</dataField:lastName><dataField:title>Tech Scout</dataField:title><dataField:department>Technology Transfer Office</dataField:department><dataField:emailAddress>creddy137@usf.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Medical > Medical Sensors]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters>This technology uses machine learning and wearable sensors to analyze early-phase knee forces and moments, enabling real-time prediction and monitoring of ACL injury risk for proactive prevention in sports and other high-risk activities.</dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Graphene-Enhanced Composite for High-Temperature Electrical Conductors</title><link>https://www.canberra-ip.com/tech/Graphene-Enhanced_Composite_for_High-Temperature_Electrical_Conductors</link><description><![CDATA[<div ><strong>Invention Description</strong></div>

<div >As technology advances in the military, aerospace and electric vehicle sectors, there is increasing demand for electrical conductors capable of operating at high temperatures. Copper is the most common electrical conductor used in various applications ranging from communication cables and power distribution grids, to electrical motors that power factories and electric vehicles, but it is reaching its functional limits. While copper-based metal composite conductors are considered promising, interfacial separation, resulting in lower electrical conductivity has plagued research groups. New, advanced conductors are needed to meet the demanding requirements that traditional copper simply cannot fulfill.</div>

<div >&nbsp;</div>

<div >Researchers at Arizona State University have developed an advanced electrical conductor composed of copper layered with nickel, silver, and graphene shells, designed to maintain low resistivity and high current density in extreme temperature environments ranging from 550 to 850&deg;C. Combining experimental analysis with molecular dynamics and finite element simulations, this composite leverages graphene&rsquo;s unique diffusion barrier properties to significantly reduce metal interdiffusion and preserve structural integrity. Experimental and theoretical studies show that the embedded graphene layer results in significant enhancements to the wire compared to just NiGCu wire.</div>

<div >&nbsp;</div>

<div >This multilayered composite conductor integrates Ni, Ag, Cu and Graphene to deliver unprecedented thermal stability and electrical conductivity at ultrahigh temperatures.</div>

<div >&nbsp;</div>

<div ><strong>Potential Applications</strong></div>

<ul>
	<li >Aerospace industries requiring reliable high-temperature electrical conductors</li>
	<li >Electric vehicles operating in extreme thermal conditions</li>
	<li >Military technologies demanding durable and high-performance conductors</li>
	<li >High-temperature electronics and power systems</li>
</ul>

<div ><strong>Benefits and Advantages</strong></div>

<ul>
	<li >29.3% lower resistivity compared to NiAgCu at high temperatures</li>
	<li >34% lower resistivity compared to NiGCu after heat exposure</li>
	<li >Graphene layer acts as an effective diffusion barrier for enhanced thermal stability</li>
	<li >Maintains higher current density limits under ultrahigh temperature conditions</li>
	<li >Robust multilayer design enhances durability in extreme environments</li>
</ul>

<div >For more information about this opportunity, please see</div>

<div ><a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.202503249" target="_blank">Choi et al &ndash; Small - 2025</a></div>]]></description><pubDate>Sat, 09 May 2026 22:28:57 GMT</pubDate><author>ip@skysonginnovations.com</author><guid>https://www.canberra-ip.com/tech/Graphene-Enhanced_Composite_for_High-Temperature_Electrical_Conductors</guid><dataField:caseId>M26-025P</dataField:caseId><dataField:lastUpdateDate>Sat, 09 May 2026 22:28:57 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Wonmo</dataField:firstName><dataField:lastName>Kang</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>SEMTE</dataField:department><dataField:emailAddress>wonmo.kang@asu.edu</dataField:emailAddress><dataField:phoneNumber>480-727-4520</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Hamzeh</dataField:firstName><dataField:lastName>Kashani</dataField:lastName><dataField:title>Postdoctoral Research Scholar</dataField:title><dataField:department>SEMTE</dataField:department><dataField:emailAddress>hamzeh.kashani@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Physical Sciences</dataField:firstName><dataField:lastName>Team</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Advanced Materials/Nanotechnology| Energy & Power| Microelectronics| Physical Science]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title><![CDATA[Bio-RPG & Bio-RG: Bio-Activated and Bio-Coated Rubber-Plastic and Rubber Granule Technologies]]></title><link>https://www.canberra-ip.com/tech?title=Bio-RPG_%2b_Bio-RG%3a_Bio-Activated_and_Bio-Coated_Rubber-Plastic_and_Rubber_Granule_Technologies</link><description><![CDATA[<div ><strong>Invention Description</strong></div>

<div >Scrap tire rubber and plastic waste present significant environmental challenges, including degradation as well as landfill overflow, necessitating innovative solutions to repurpose these materials while mitigating pollution. At the same time, conventional construction materials such as asphalt and concrete face durability issues, including cracking, rutting, and degradation over time. One solution for recycled scrap tires, which has been successfully used for decades, is crumb rubber or ground tire rubber, which is combined in asphalt binders for asphalt production. However, research has shown that rubber crumb can release 6PPD-quinone, raising concerns of air and water pollution.</div>

<div >&nbsp;</div>

<div >In response to these concerns, researchers at Arizona State University have taken crumb rubber one step further and developed two novel modified crumb rubber technologies that enhance material performance while promoting sustainability and safety. The first technology, Bio-RPG (M25-280P) is a hybrid material that combines activated rubber and functionalized plastics with biofunctional carbon. Bio-RPG improves resistance to rutting and cracking while increasing fracture energy in construction applications. It also helps reduce the release of toxic substances, such as VOCs, odors 6PPD-quinone and heavy metals that are common in construction materials. The second technology, Bio-RG (M25-306P) incorporates bio-oils to coat rubber crumbs, and form treated, highly flexible, embedded particles that significantly reduce the formation of harmful compounds like 6PPD-quinone. Bio-RG promotes stronger interfacial interactions between the composite matrix and the rubber particles, improving energy absorption and fracture toughness of the resulting material.</div>

<div >&nbsp;</div>

<div >Together, these approaches upcycle waste materials into high-performance, eco-friendly additives for asphalt, concrete, and synthetic turf. This dual innovation addresses both durability and environmental concerns in modern infrastructure materials.</div>

<div >&nbsp;</div>

<div ><strong>Potential Applications</strong></div>

<ul>
	<li >Asphalt and concrete mixtures for roads, pavements, and infrastructure projects</li>
	<li >Durable construction materials incorporating recycled rubber and plastics</li>
	<li >Eco-friendly building materials for sustainable construction initiatives</li>
	<li >Green civil engineering, urban development, and infrastructure projects</li>
	<li >Environmental remediation and sustainability-focused building products</li>
</ul>

<div ><strong>Benefits and Advantages</strong></div>

<ul>
	<li >Transforms scrap tire rubber and waste plastics into environmentally friendly, high-value materials</li>
	<li >Reduces harmful compounds such as 6PPD-quinone from rubber crumb, but also VOCs, odors and heavy metals that are typically emitted or leached from construction materials</li>
	<li >Improves durability and extends the service life of infrastructure materials</li>
	<li >Increases resistance to rutting, cracking, and structural degradation</li>
	<li >Utilizes sustainable bio-based inputs for eco-friendly production</li>
	<li >Supports recycling, waste reduction, and mitigation of landfill overflow</li>
</ul>]]></description><pubDate>Sat, 09 May 2026 21:54:15 GMT</pubDate><author>ip@skysonginnovations.com</author><guid>https://www.canberra-ip.com/tech?title=Bio-RPG_%2b_Bio-RG%3a_Bio-Activated_and_Bio-Coated_Rubber-Plastic_and_Rubber_Granule_Technologies</guid><dataField:caseId>M25-306P^</dataField:caseId><dataField:lastUpdateDate>Sat, 09 May 2026 21:54:15 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Elham</dataField:firstName><dataField:lastName>Fini</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>SSEBE</dataField:department><dataField:emailAddress>efini@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Mahour</dataField:firstName><dataField:lastName>Parast</dataField:lastName><dataField:title>Associate Research  Scholar</dataField:title><dataField:department>SSEBE</dataField:department><dataField:emailAddress>mahour.parast@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Physical Sciences</dataField:firstName><dataField:lastName>Team</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Advanced Materials/Nanotechnology| Biomaterials| Applied Technologies| Environmental| Manufacturing/Construction/Mechanical| Physical Science</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Advanced Text-to-3D Generative Model</title><link>https://www.canberra-ip.com/tech/Advanced_Text-to-3D_Generative_Model</link><description><![CDATA[<div ><strong>Invention Description</strong></div>

<div >Generating high-quality 3D content is essential for applications such as gaming, film, and virtual reality, but it typically requires large, well-annotated 3D datasets. These datasets are expensive and time-consuming to create, limiting the scalability of current text-to-3D generation methods. As a result, many existing models struggle to produce geometrically consistent and high-fidelity 3D objects. There is a need for approaches that can generate accurate 3D content without relying on massive training datasets.</div>

<div >&nbsp;</div>

<div >Researchers at Arizona State University have developed a text-to-3D generative model that leverages high-fidelity 3D objects, depth maps and deep geometric moments (DGM) to improve the quality and consistency of 3D outputs. By incorporating geometric constraints directly into the learning process, the model ensures structurally accurate representations even with limited training data. It also integrates ControlNet and LoRA to condition on depth data, ensuring diverse and consistent 3D representations. Data scarcity challenges are able to be overcome while maintaining strong geometric integrity. Utilizing 3D Gaussian Splatting for efficient rendering and refinement, this model produces well-structured and high-quality 3D models validated against state-of-the-art techniques.</div>

<div >&nbsp;</div>

<div >This novel text-to-3D generative model significantly improves geometric consistency and reduces viewpoint bias in 3D object generation without large datasets and enables efficient generation of high-fidelity 3D assets suitable for use in games, films, and virtual reality environments.</div>

<div >&nbsp;</div>

<div ><strong>Potential Applications</strong></div>

<ul>
	<li >3D asset design and creation for gaming, VR and augmented reality environments</li>
	<li >Enhanced content generation for film and visual effects production</li>
	<li >3D model generation for simulation and training</li>
	<li >Creative tools for digital artists, studios, or education content</li>
	<li >Rapid prototyping and visualization in design and manufacturing sectors</li>
	<li >Platforms for e-commerce enabling detailed 3D product visualization</li>
</ul>

<div >&nbsp;</div>

<div ><strong>Benefits and Advantages</strong></div>

<ul>
	<li >Minimal dependency on large-scale 3D datasets</li>
	<li >Applicable to diverse domains such as gaming, film, and VR</li>
	<li >Uses 3D Gaussian Splatting for efficient rendering and geometric refinement</li>
	<li >Reduces viewpoint bias and geometric distortions such as the Janus problem</li>
	<li >Incorporates high-fidelity depth maps and deep geometric moments for enhanced shape awareness</li>
	<li >Employs ControlNet and LoRA for conditioning on depth data, improving model consistency</li>
	<li >Demonstrates superior performance with a 38% improvement in Janus rate over leading competitors</li>
</ul>

<div >&nbsp;</div>

<div >For more information about this opportunity, please see</div>

<div ><a href="https://www.computer.org/csdl/proceedings-article/wacv/2025/108300e338/25KnfrWiNGw" target="_blank">Nath et al &ndash; IEEE-CVF WACV - 2025</a></div>]]></description><pubDate>Sat, 09 May 2026 21:34:55 GMT</pubDate><author>ip@skysonginnovations.com</author><guid>https://www.canberra-ip.com/tech/Advanced_Text-to-3D_Generative_Model</guid><dataField:caseId>M25-212P^</dataField:caseId><dataField:lastUpdateDate>Sat, 09 May 2026 21:34:55 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Utkarsh</dataField:firstName><dataField:lastName>Nath</dataField:lastName><dataField:title>Grad Service Assistant</dataField:title><dataField:department>SCAI</dataField:department><dataField:emailAddress>unath@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Pavan</dataField:firstName><dataField:lastName>Turaga</dataField:lastName><dataField:title><![CDATA[Schl Dir (ACD) & Professor]]></dataField:title><dataField:department>Herberger Institute for Design and the Arts</dataField:department><dataField:emailAddress>pturaga@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Physical Sciences</dataField:firstName><dataField:lastName>Team</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Artificial Intelligence/Machine Learning| Computing & Information Technology| Physical Science]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>High Sensitivity and Specificity Biosensor</title><link>https://www.canberra-ip.com/tech/High_Sensitivity_and_Specificity_Biosensor</link><description><![CDATA[<p >This sensor architecture enables signal amplification for detection of biomarkers and analytes at extremely low concentration </p>

<p ><strong>Background</strong>   <br />
Molecular diagnostics increasingly rely on sensitive detection of biomarkers such as nucleic acids, proteins, and cytokines in complex biological samples. Traditional biosensor probes often suffer from signal quenching when fluorescent dyes are positioned on the outer surface of densely packed probes, limiting their sensitivity and reliability. Additionally, conventional probe designs may lack the ability to selectively concentrate target-bound probes, which is critical for enhancing detection signals in low-abundance scenarios. These limitations are particularly problematic in early-stage disease diagnostics, such as viral infections or inflammatory conditions, where biomarker concentrations can be extremely low.<br />
<br />
There is a pressing need for biosensor technologies that combine high specificity, signal amplification, and spatial control to enable rapid, accurate, and multiplexed detection of diagnostic targets in clinical samples.  </p>

<p ><strong>Technology Description </strong>   <br />
This technology encompasses a novel class of biosensor probes that integrate metal nanoparticles with surface-modified magnetic nanoparticles and target-specific recognition elements.<br />
<br />
The magnetic nanoparticles serve dual roles: they enable magnetic concentration of probe-target complexes and act as physical spacers to prevent fluorescence quenching. The metal nanoparticle core is engineered to enhance plasmonic resonance, amplifying both fluorescence and Raman signals from reporter molecules. Recognition receptors are conjugated to the metal surface to selectively bind diagnostic targets. Upon binding, the probes can be magnetically concentrated onto a treated substrate surface, significantly boosting signal intensity while reducing background noise. This architecture supports both fluorescence and Raman-based detection and is compatible with multiplexed assays.<br />
<br />
The inventors have demonstrated sensitivity down to 25 pg/mL for cytokines and 1 fM for nucleic acids, making it highly suitable for early detection of viral infections, inflammation, and other disease states. The sensor&rsquo;s modular design allows for rapid adaptation to new targets, offering a powerful alternative to conventional diagnostic assays. </p>

<p ><img alt="" src="https://oregonstate.technologypublisher.com/files/sites/20-57.jpg"  /><br />
<sub>Fig. 1</sub></p>

<p ><strong>Benefits </strong>   </p>

<ul>
	<li>Enhanced signal sensitivity </li>
	<li>Reduced fluorescence quenching</li>
	<li>Multiplexed detection capability</li>
	<li>Rapid and low-cost diagnostics suitable for point-of-care</li>
</ul>

<p ><strong>Applications </strong>   </p>

<ul>
	<li>Infection diagnostics</li>
	<li>Cytokine profiling</li>
	<li>Immunoassays and biomarker screening</li>
</ul>

<p ><strong>Status </strong>   <br />
Seeking development partner, commercial partner, licensing. US Patent Application No. 17/697,638</p>]]></description><pubDate>Sat, 09 May 2026 00:31:42 GMT</pubDate><author>advantage@oregonstate.edu</author><guid>https://www.canberra-ip.com/tech/High_Sensitivity_and_Specificity_Biosensor</guid><dataField:caseId>OSU-20-57</dataField:caseId><dataField:lastUpdateDate>Sat, 09 May 2026 00:31:42 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Li-Jing</dataField:firstName><dataField:lastName>Cheng</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>EECS</dataField:department><dataField:emailAddress>chengli@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Ye</dataField:firstName><dataField:lastName>Liu</dataField:lastName><dataField:title>Student</dataField:title><dataField:department><![CDATA[School of Electrical Engr & Computer Science (CoE)]]></dataField:department><dataField:emailAddress>liuye@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>analyte, assay, biomarkers, biosensor, diagnostic, immunoassay, magnetic nanoparticles, molecular diagnostics, molecular probe, multiplexed detection, nanoparticle, nanoparticles, plasmonics, raman system, sensor, signal amplification, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>David</dataField:firstName><dataField:lastName>Dickson</dataField:lastName><dataField:title><![CDATA[IP & Licensing Manager]]></dataField:title><dataField:department><![CDATA[Office for Commercialization & Corporate Development]]></dataField:department><dataField:emailAddress>david.dickson@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber>541-737-3450</dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Diagnostics</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>A Device for the Direct Measurement of Solar-Induced Chlorophyll Fluorescence in the Far-Red Spectral Range (SIF-SBR) (Case No. 2024-183)</title><link>https://www.canberra-ip.com/tech/A_Device_for_the_Direct_Measurement_of_Solar-Induced_Chlorophyll_Fluorescence_in_the_Far-Red_Spectral_Range_(SIF-SBR)_(Case_No._2024-183)</link><description><![CDATA[<p><strong>Summary:</strong></p>

<p>UCLA researchers in the Department of Atmospheric and Oceanic Sciences have developed a novel and compact device for direct, real-time measurement of solar-induced chlorophyll fluorescence, enabling accurate monitoring of plant photosynthetic activity without complex calibration or spectral retrieval procedures.</p>

<p><strong>Background:</strong><br />
<br />
Accurate monitoring of plant photosynthesis is essential for assessing carbon uptake, growth dynamics, and plant responses to heat and water stress. Solar-Induced Chlorophyll Fluorescence (SIF) refers to the emission of photons in the red to far-red spectral region from chlorophyll molecules following excitation by absorbed solar radiation and can serve as a direct proxy for photosynthetic activity. Although SIF has strong potential as a photosynthetic indicator, existing measurement techniques are largely confined to specialized research instruments. These systems are complex, bulky, expensive, require sophisticated spectral retrieval algorithms, and are subject to significant uncertainties arising from atmospheric effects. Thus, there remains an unmet need for a simplified, compact, and cost-effective approach for SIF measurement providing accurate, real-time sensing without reliance on complex numerical retrieval methods.</p>

<p><strong>Innovation:</strong><br />
<br />
Dr. Jonas Kuhn and Prof. Jochen Stutz have developed a fundamentally new approach to SIF proximal remote sensing that overcomes the core limitations of existing systems. The proposed device achieves a dramatically reduced form factor and power consumption while simultaneously delivering substantially higher measurement accuracy. The device integrates high spectral resolution with ultra-high contrast performance, enabling direct and absolute quantification of SIF. Consequently, there is no external reliance on complex spectral retrieval algorithms. Notably, the system isolates the SIF signal, suppressing light reflected by a plant canopy, providing unprecedented signal-to-noise performance. Collectively, this technology presents the potential to revolutionize current measurement systems by enabling a low-power, compact, and highly precise platform that can transform plant phenotyping, ecosystem monitoring, and global carbon cycle assessment. This combination of performance, robustness, and efficiency positions the technology as a foundational enabler for next-generation precision agriculture, ecosystem monitoring, and climate research.</p>

<p><img src="https://ucla.technologypublisher.com/files/sites/image1996.png"  /></p>

<p><strong>Potential Applications:</strong><br />
<br />
●&nbsp;&nbsp; &nbsp;Crop monitoring, selection, irrigation, and fertilization<br />
●&nbsp;&nbsp; &nbsp;Crop breeding and high-throughput phenotyping<br />
●&nbsp;&nbsp; &nbsp;Ecosystem and climate change assessment&nbsp;<br />
●&nbsp;&nbsp; &nbsp;Carbon flux and productivity monitoring sites<br />
●&nbsp;&nbsp; &nbsp;Satellite, drone, and airborne remote sensing platform validation</p>

<p><strong>Advantages:</strong><br />
<br />
●&nbsp;&nbsp; &nbsp;Direct, real-time SIF quantification<br />
●&nbsp;&nbsp; &nbsp;Compact and low-power system design<br />
●&nbsp;&nbsp; &nbsp;High accuracy and low noise<br />
●&nbsp;&nbsp; &nbsp;Eliminates complex spectral retrieval models</p>

<p><strong>State of Development:</strong><br />
<br />
Working prototype in testing; manuscript pre-print published.</p>

<p><strong>Related Publications:</strong><br />
<br />
<a href="https://eartharxiv.org/repository/view/12826/" target="_blank">Direct quantification of solar-induced chlorophyll fluorescence using compact solar-blind optical radiometers</a></p>

<p><strong>Reference:</strong><br />
<br />
UCLA Case No. 2024-183</p>

<p><strong>Lead Inventors:</strong><br />
<br />
Jonas Kuhn and Jochen Peter Stutz, Professor, Department of Atmospheric and Oceanic Sciences<br />
&nbsp;<br />
&nbsp;</p>]]></description><pubDate>Fri, 08 May 2026 22:18:33 GMT</pubDate><author>marketing@tdg.ucla.edu</author><guid>https://www.canberra-ip.com/tech/A_Device_for_the_Direct_Measurement_of_Solar-Induced_Chlorophyll_Fluorescence_in_the_Far-Red_Spectral_Range_(SIF-SBR)_(Case_No._2024-183)</guid><dataField:caseId>2024-183</dataField:caseId><dataField:lastUpdateDate>Fri, 08 May 2026 22:21:56 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Jochen</dataField:firstName><dataField:lastName>Stutz</dataField:lastName><dataField:title>PROF-AY</dataField:title><dataField:department>ATMOSPHERIC AND OCEANIC SCIENCES [0965]</dataField:department><dataField:emailAddress>jochen@atmos.ucla.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Jonas</dataField:firstName><dataField:lastName>Kuhn</dataField:lastName><dataField:title>POSTDOC-EMPLOYEE</dataField:title><dataField:department>ATMOSPHERIC AND OCEANIC SCIENCES [0965]</dataField:department><dataField:emailAddress>jonaskuhn@atmos.ucla.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords><![CDATA[Agricultural & plant biology research, Agriculture, Chemical, concentrated solar radiation, Ecosystem monitoring, Fluorescence, low-power architecture, low-power device, low-power sensor, operating range, Photon, photosynthetic activity, photosynthetic monitoring, Plant fluorescence, Plant proximal remote sensing, Precision Agriculture, Proximal remote sensing, real-time, real-time sensing/monitoring/tracking, Signal Processing, Signal-To-Noise Ratio, Solar Energy, spectral density, ]]></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Ed</dataField:firstName><dataField:lastName>Beres</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>edward.beres@tdg.ucla.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Energy & Environment| Energy & Environment > Energy Efficiency| Energy & Environment > Carbon Capture| Energy & Environment > Water Monitoring & Treatment| Life Science Research Tools| Life Science Research Tools > Research Methods| Optics & Photonics| Optics & Photonics > Remote Sensing| Optics & Photonics > Spectroscopy| Life Science Research Tools > Field Equipment]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>High Strength, Non-Toxic Titanium Metallic Glass</title><link>https://www.canberra-ip.com/tech?title=High_Strength%2c_Non-Toxic_Titanium_Metallic_Glass</link><description><![CDATA[<p >This titanium-based metallic glass (i.e., amorphous alloy) is high-strength and non-toxic, suitable for surgical implants </p>

<p ><strong>Background</strong>   <br />
<br />
Titanium-based metallic glasses (TBMGs) are a class of advanced materials known for their unique combination of high strength, corrosion resistance, and biocompatibility. These properties make them highly attractive for applications in biomedical devices, aerospace components, and consumer electronics.<br />
<br />
However, the widespread adoption of TBMGs has been hindered by their poor glass-forming ability (GFA), which limits the size and shape of components that can be manufactured without crystallization. Most existing TBMGs require at least one dimension to be under 6 mm to maintain an amorphous structure, and many rely on toxic elements like beryllium or expensive precious metals such as palladium or silver to improve GFA. This poses environmental, health, and cost challenges, restricting their commercial viability.<br />
<br />
The composition disclosed here addresses these limitations by introducing a new family of non-toxic, precious-metal-free TBMGs with exceptional GFA, enabling a critical casting dimension of 12 mm. This significantly enhances the manufacturability and scalability of TBMGs, opening new applications in high-performance, durable, and biocompatible components across multiple industries.  </p>

<p ><strong>Technology Description </strong>   <br />
This invention introduces a novel class of titanium-based metallic glasses formulated within the pseudo-ternary system (TiZrHf)x(CuNi)y(SnSi)z. These alloys are entirely free of toxic and precious metals, yet they exhibit record-breaking glass-forming ability, with critical casting diameters reaching up to 12 mm&mdash;double the previous benchmark for similar compositions.<br />
<br />
One example alloy composition demonstrates superior manufacturability, mechanical strength up to 2.7 GPa, and specific strength up to 370 N&middot;m/g, with notable hardness. These properties are attributed to high crystallization activation energy and efficient atomic packing, which suppress crystallization during cooling. The alloys are produced via vacuum arc melting followed by tilt casting into copper molds, yielding smooth, fully amorphous geometries. Their performance surpasses conventional light-weight alloys like Ti&ndash;6Al&ndash;4V and AZ91, and even many existing metallic glasses.<br />
<br />
The combination of high strength, corrosion resistance, and biocompatibility makes these materials ideal for structural and functional orthopedic applications, especially where durability and precision are critical. This innovation paves the way for broader commercial use of TBMGs in sectors that demand high-performance materials without the drawbacks of toxicity or high cost. </p>

<p ><strong>Benefits </strong>   </p>

<ul>
	<li>Improved glass-forming ability: Enables casting of fully amorphous structures with a critical casting dimension up to 12 mm.</li>
	<li>Non-toxic and precious-metal-free: Safer and more cost-effective than existing TBMGs.</li>
	<li>High mechanical performance: Exceptional strength, hardness, and plasticity.</li>
	<li>Enhanced manufacturability: Suitable for bulk production in various shapes and sizes.</li>
</ul>

<p ><strong>Applications </strong>   </p>

<ul>
	<li>Biomedical implants</li>
	<li>Aerospace components</li>
	<li>Consumer electronics casings</li>
	<li>Precision mechanical parts (e.g., micro-gears, surgical tools)</li>
</ul>

<p ><strong>Status </strong>   <br />
Seeking development partners and licensees to commercialize the material in suitable applications. US Patent Application No. 19/022,514</p>]]></description><pubDate>Fri, 08 May 2026 18:46:11 GMT</pubDate><author>advantage@oregonstate.edu</author><guid>https://www.canberra-ip.com/tech?title=High_Strength%2c_Non-Toxic_Titanium_Metallic_Glass</guid><dataField:caseId>OSU-24-48</dataField:caseId><dataField:lastUpdateDate>Fri, 08 May 2026 18:46:11 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Donghua</dataField:firstName><dataField:lastName>Xu</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>MIME</dataField:department><dataField:emailAddress>donghua.xu@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Lei</dataField:firstName><dataField:lastName>Chen</dataField:lastName><dataField:title>Phd student</dataField:title><dataField:department>MIME</dataField:department><dataField:emailAddress>chenl2@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>aerospace, aerospace component, alloy, amorphous, biocompatibility, biomedical, biomedical device, biomedical implants, casings, consumer electronics, corrosion resistance, durability, glass, hardness, high performance, high performance alloys, implant, light weight, metallic glass, metallic glasses, non-toxic, orthopedic, precision mechanical processing, surgical, surgical implants, surgical tool, titanium, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>David</dataField:firstName><dataField:lastName>Dickson</dataField:lastName><dataField:title><![CDATA[IP & Licensing Manager]]></dataField:title><dataField:department><![CDATA[Office for Commercialization & Corporate Development]]></dataField:department><dataField:emailAddress>david.dickson@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber>541-737-3450</dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Materials Science</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>A Weight-Bearing Highly Articulated Robotic Arm</title><link>https://www.canberra-ip.com/tech/A_Weight-Bearing_Highly_Articulated_Robotic_Arm</link><description><![CDATA[<p>A robotic arm capable of up to 100 different articulations (turns) despite being made of rigid material. <br />
Problem: <br />
There is an increasing need for highly articulated robotic arms (also known as octopus&rsquo; arms, elephant trunk, snake-like robots) with cross-disciplinary applications. However, there are still no highly articulated robots (&gt;10 degrees of freedom (DOF) serial chain) that can both passively conform to the environment or objects yet also be configurable as a hyper-redundant robot arm system achieving follow-the-leader motion. Further, no robots have more than 50 DOF and highly articulated robotic arms also do not have larger payload capabilities on the body of the arm, nor the endpoint compared to standard rigid link robotic arms. <br />
Solution: <br />
A highly articulated robotic arm, resembling a snake-like DOF movement and capable of bearing weight. This robotic arm has been mathematically demonstrated up to 100 articulations and prototype verified up to 4 articulations. <br />
Technology: <br />
To achieve a high number of articulations, the inventors designed each module of the robotic arm to have three rigid bodies (a frame and two gears) and a locking system that can temporarily join two module elements together. Each of these modules are then attached together in a serial chain with one revolute DOF between each module, with the even and odd numbered modules positioned in the transverse and longitudinal planes, respectively. The locking system also can be frozen in consecutive links to mimic other rigid link robotic geometries which decrease the torque and increase the force bearing capabilities. <br />
&lt;contentadvantages&gt;Advantages: <br />
</p>

<ul>
	<li>Ability to achieve a snake-like curve with only a handful of turns</li>
	<li>Mathematically demonstrated up to 100 articulations (turns)</li>
	<li>Able to support self and payload</li>
	<li>Torques for each joint will be distributed equally, facilitating handling of delicate and oddly shaped objects</li>
	<li>Industrial applications in medicine (i.e., picking up patient), search and rescue, inspection of tunnels, industrial plants, and airplane wings, manipulating non-uniform or fragile objects </li>
</ul>

<p>Stage of Development: <br />
</p>

<ul>
	<li>Concept</li>
	<li>Proof of Concept (mathematically up to 100; verified prototype up to 4 modules) </li>
</ul>

<p><br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/24-10779_image_02.jpg"  /><br />
<br />
(A) A simulation with 100 modules following the gear train constraints that can reach arbitrary positions. (B) Two consecutive modules lying perpendicular to one another, demonstrating the array of lock holes and locks relative to the module orientation. (C) Four modules with 90-degree revolute joints. <br />
Intellectual Property: <br />
</p>

<ul>
	<li>PCT Filed&nbsp;<a href="https://patents.google.com/patent/WO2025240725A1/en?oq=WO%2f2025%2f240725" target="_blank">WO2025240725A1</a>&nbsp;</li>
</ul>

<p>Reference Media: <br />
</p>

<ul>
	<li><a href="https://www.modlabupenn.org/research/" target="_blank">Dr. Mark Yim, ModLab &amp; Research Webpage</a>&nbsp; </li>
</ul>

<p>Desired Partnerships: <br />
</p>

<ul>
	<li>License</li>
	<li>Co-Development&nbsp; </li>
</ul>

<p>Docket #24-10779 </p>

<p>&nbsp;</p>

<p><br />
<br />
<br />
&nbsp;</p>]]></description><pubDate>Fri, 08 May 2026 15:50:44 GMT</pubDate><author>lbricha@upenn.edu</author><guid>https://www.canberra-ip.com/tech/A_Weight-Bearing_Highly_Articulated_Robotic_Arm</guid><dataField:caseId>24-10779-tpNCS</dataField:caseId><dataField:lastUpdateDate>Fri, 08 May 2026 15:56:41 GMT</dataField:lastUpdateDate><dataField:brief>A robotic arm capable of up to 100 different articulations (turns) despite being made of rigid material.</dataField:brief><dataField:contentproblem>Problem:</dataField:contentproblem><dataField:problem><![CDATA[There is an increasing need for highly articulated robotic arms (also known as octopus&rsquo; arms, elephant trunk, snake-like robots) with cross-disciplinary applications. However, there are still no highly articulated robots (&gt;10 degrees of freedom (DOF) serial chain) that can both passively conform to the environment or objects yet also be configurable as a hyper-redundant robot arm system achieving follow-the-leader motion. Further, no robots have more than 50 DOF and highly articulated robotic arms also do not have larger payload capabilities on the body of the arm, nor the endpoint compared to standard rigid link robotic arms.]]></dataField:problem><dataField:contentsolution>Solution:</dataField:contentsolution><dataField:solution>A highly articulated robotic arm, resembling a snake-like DOF movement and capable of bearing weight. This robotic arm has been mathematically demonstrated up to 100 articulations and prototype verified up to 4 articulations.</dataField:solution><dataField:contenttechnology>Technology:</dataField:contenttechnology><dataField:technology>To achieve a high number of articulations, the inventors designed each module of the robotic arm to have three rigid bodies (a frame and two gears) and a locking system that can temporarily join two module elements together. Each of these modules are then attached together in a serial chain with one revolute DOF between each module, with the even and odd numbered modules positioned in the transverse and longitudinal planes, respectively. The locking system also can be frozen in consecutive links to mimic other rigid link robotic geometries which decrease the torque and increase the force bearing capabilities.</dataField:technology><dataField:advantages><![CDATA[</p>

<ul>
	<li>Ability to achieve a snake-like curve with only a handful of turns</li>
	<li>Mathematically demonstrated up to 100 articulations (turns)</li>
	<li>Able to support self and payload</li>
	<li>Torques for each joint will be distributed equally, facilitating handling of delicate and oddly shaped objects</li>
	<li>Industrial applications in medicine (i.e., picking up patient), search and rescue, inspection of tunnels, industrial plants, and airplane wings, manipulating non-uniform or fragile objects]]></dataField:advantages><dataField:contentstage>Stage of Development:</dataField:contentstage><dataField:stage><![CDATA[</p>

<ul>
	<li>Concept</li>
	<li>Proof of Concept (mathematically up to 100; verified prototype up to 4 modules)]]></dataField:stage><dataField:image><![CDATA[<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/24-10779_image_02.jpg" style="height:405px; width:720px" /><br />]]></dataField:image><dataField:caption>(A) A simulation with 100 modules following the gear train constraints that can reach arbitrary positions. (B) Two consecutive modules lying perpendicular to one another, demonstrating the array of lock holes and locks relative to the module orientation. (C) Four modules with 90-degree revolute joints.</dataField:caption><dataField:contentip>Intellectual Property:</dataField:contentip><dataField:ip><![CDATA[</p>

<ul>
	<li>PCT Filed&nbsp;<a href="https://patents.google.com/patent/WO2025240725A1/en?oq=WO%2f2025%2f240725" target="_blank">WO2025240725A1</a>&nbsp;]]></dataField:ip><dataField:contentreference>Reference Media:</dataField:contentreference><dataField:reference><![CDATA[</p>

<ul>
	<li><a href="https://www.modlabupenn.org/research/" target="_blank">Dr. Mark Yim, ModLab &amp; Research Webpage</a>&nbsp;]]></dataField:reference><dataField:contentpartnerships>Desired Partnerships:</dataField:contentpartnerships><dataField:partnerships><![CDATA[</p>

<ul>
	<li>License</li>
	<li>Co-Development&nbsp;]]></dataField:partnerships><dataField:docket>Docket #24-10779</dataField:docket><dataField:inventorList><dataField:inventor><dataField:firstName>Mark</dataField:firstName><dataField:lastName>Yim</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>SEAS-Mechanical Engineering and Applied Mechanics</dataField:department><dataField:emailAddress>yim@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber>215-898-5269</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Robert</dataField:firstName><dataField:lastName>Ljungberg</dataField:lastName><dataField:title>Licensing Officer, Physical Sciences and Engineering</dataField:title><dataField:department>Penn Center for Innovation</dataField:department><dataField:emailAddress>robertlj@upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Materials| Technology Classifications > Medical Devices| Technology Classifications > Robotics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Highly Efficient Approach for Developing Biocompatible and Potent Lipid Nanoparticles</title><link>https://www.canberra-ip.com/tech/Highly_Efficient_Approach_for_Developing_Biocompatible_and_Potent_Lipid_Nanoparticles</link><description><![CDATA[<p>Enhancing the biocompatibility and potency of lipid nanoparticles (LNPs) by refining the structure of ionizable lipids through an iterative method.<br />
Problem:<br />
Ionizable lipids play a crucial role in determining the potency and biocompatibility of LNPs. Current approaches, medicinal chemistry, and combinatorial chemistry, each have limitations. Medicinal chemistry is laborious and low throughput, while combinatorial chemistry often fails to produce lipids that are both potent and biocompatible.<br />
Solution:<br />
The innovative approach combines the strengths of medicinal and combinatorial chemistry, resulting in a highly efficient method that generates potent and biocompatible lipids, termed &quot;UPenn Lipids.&quot; Many of these lipids surpass the performance of currently approved ionizable lipids.<br />
Technology:<br />
Leveraging the benefits of both traditional approaches, the method utilizes an A3-coupling reaction to introduce significant diversity in lipid structures. This diverse pool undergoes screening for biocompatibility and potency, with the most favorable lipids selected. The process iterates, culminating in a technique known as directed chemical evolution.<br />
Advantages:<br />
</p>

<ul>
	<li>The directed chemical evolution technique ensures high efficiency, allowing the testing of a diverse range of structures within a short timeframe.</li>
	<li>Among the UPenn lipids, 31hP exhibits superior transfection capabilities compared to industry-standard ionizable lipids.</li>
	<li>The A3 coupling reaction is both convenient and flexible, conducted under ambient, solvent-free conditions, with excellent tolerance for various functional groups.</li>
</ul>

<p>Stage of Development:<br />
</p>

<ul>
	<li>Proof of concept</li>
</ul>

<p><br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/24-10535_image01.jpg"  /><br />
<br />
<br />
Successive stages in the iterative process of directed evolution, which can be reiterated continuously until lipids with desirable characteristics are achieved.<br />
Intellectual Property:<br />
</p>

<ul>
	<li>PCT Filed</li>
</ul>

<p>Desired Partnerships:<br />
</p>

<ul>
	<li>License</li>
	<li>Co-development</li>
</ul>

<p>Docket: 24-10535</p>]]></description><pubDate>Fri, 08 May 2026 15:09:21 GMT</pubDate><author>lbricha@upenn.edu</author><guid>https://www.canberra-ip.com/tech/Highly_Efficient_Approach_for_Developing_Biocompatible_and_Potent_Lipid_Nanoparticles</guid><dataField:caseId>24-10535-TpNCS</dataField:caseId><dataField:lastUpdateDate>Fri, 08 May 2026 18:06:46 GMT</dataField:lastUpdateDate><dataField:brief>Enhancing the biocompatibility and potency of lipid nanoparticles (LNPs) by refining the structure of ionizable lipids through an iterative method.</dataField:brief><dataField:contentproblem>Problem:</dataField:contentproblem><dataField:problem>Ionizable lipids play a crucial role in determining the potency and biocompatibility of LNPs. Current approaches, medicinal chemistry, and combinatorial chemistry, each have limitations. Medicinal chemistry is laborious and low throughput, while combinatorial chemistry often fails to produce lipids that are both potent and biocompatible.</dataField:problem><dataField:contentsolution>Solution:</dataField:contentsolution><dataField:solution><![CDATA[The innovative approach combines the strengths of medicinal and combinatorial chemistry, resulting in a highly efficient method that generates potent and biocompatible lipids, termed &quot;UPenn Lipids.&quot; Many of these lipids surpass the performance of currently approved ionizable lipids.]]></dataField:solution><dataField:contenttechnology>Technology:</dataField:contenttechnology><dataField:technology>Leveraging the benefits of both traditional approaches, the method utilizes an A3-coupling reaction to introduce significant diversity in lipid structures. This diverse pool undergoes screening for biocompatibility and potency, with the most favorable lipids selected. The process iterates, culminating in a technique known as directed chemical evolution.</dataField:technology><dataField:contentadvantages>Advantages:</dataField:contentadvantages><dataField:advantages><![CDATA[</p>

<ul>
	<li>The directed chemical evolution technique ensures high efficiency, allowing the testing of a diverse range of structures within a short timeframe.</li>
	<li>Among the UPenn lipids, 31hP exhibits superior transfection capabilities compared to industry-standard ionizable lipids.</li>
	<li>The A3 coupling reaction is both convenient and flexible, conducted under ambient, solvent-free conditions, with excellent tolerance for various functional groups.]]></dataField:advantages><dataField:contentstage>Stage of Development:</dataField:contentstage><dataField:stage><![CDATA[</p>

<ul>
	<li>Proof of concept]]></dataField:stage><dataField:image><![CDATA[<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/24-10535_image01.jpg" style="height:287px; width:730px" /><br />]]></dataField:image><dataField:caption><![CDATA[<br />
Successive stages in the iterative process of directed evolution, which can be reiterated continuously until lipids with desirable characteristics are achieved.]]></dataField:caption><dataField:contentip>Intellectual Property:</dataField:contentip><dataField:ip><![CDATA[</p>

<ul>
	<li>PCT Filed]]></dataField:ip><dataField:contentpartnerships>Desired Partnerships:</dataField:contentpartnerships><dataField:partnerships><![CDATA[</p>

<ul>
	<li>License</li>
	<li>Co-development]]></dataField:partnerships><dataField:docket>Docket: 24-10535</dataField:docket><dataField:inventorList><dataField:inventor><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Mitchell</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>SEAS-Bioengineering</dataField:department><dataField:emailAddress>mjmitch@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber>215-898-0882</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Xuexiang</dataField:firstName><dataField:lastName>Han</dataField:lastName><dataField:title>Postdoctoral Fellow</dataField:title><dataField:department>SEAS-Bioengineering</dataField:department><dataField:emailAddress>xuexiang.han@sibcb.ac.cn</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Rohan</dataField:firstName><dataField:lastName>Palanki</dataField:lastName><dataField:title>PhD Candidate</dataField:title><dataField:department>UP-SEAS-Bioengineering</dataField:department><dataField:emailAddress>rohan.palanki@pennmedicine.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Bioengineering, Drug Delivery, Nanotechnology, Platform Technology, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Emma</dataField:firstName><dataField:lastName>Roszkowski</dataField:lastName><dataField:title>Technology Licensing Officer</dataField:title><dataField:department></dataField:department><dataField:emailAddress>eroszko@upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Precise, Efficient Delivery of mRNA Medicine to the Placenta</title><link>https://www.canberra-ip.com/tech?title=Precise%2c_Efficient_Delivery_of_mRNA_Medicine_to_the_Placenta</link><description><![CDATA[<p>Using tiny lipid nanoparticles (LNPs) to improve mRNA medicine delivery and uptake in the placenta for healthier pregnancies<br />
Problem:<br />
The placenta is an important biological barrier that connects the mother and fetus while keeping their blood supplies separate, enabling nutrient and oxygen delivery and waste removal for healthy development. Abnormal development, such as in pre-eclampsia, can create serious health risks for both mother and baby during pregnancy. With no current existing cure, researchers are exploring lipid nanoparticles (LNPs) to deliver mRNA as a potential therapy. However, organ-specific LNP delivery requires modifying LNP properties like size, charge, stiffness, and stability, which influence efficacy and uptake. For treating developmental disorders like pre-eclampsia, there is a need for engineering LNP design for targeted delivery to placental cells.<br />
Solution:<br />
The authors developed a set of LNPs with varying elasticity for specific mRNA delivery to the placenta. These LNPs were formulated with either cholesterol or cholesterol analogs like campesterol, &beta;-sitosterol, or stigmasterol. These LNPs demonstrated improved mRNA delivery to the placenta in pregnant mice.<br />
Technology:<br />
The researchers created the LNPs as four component systems by combining an ionizable lipid that was previously identified for mRNA delivery to the placenta, as well as components like phospholipid, a cholesterol or cholesterol analog, and lipid-anchored polyethylene glycol (PEG) in a microfluidic device. The use of cholesterol and cholesterol analogs can change the elastic properties of LNPs, thus improving mRNA delivery to the placenta.<br />
Advantages:<br />
</p>

<ul>
	<li>Allows specific delivery of LNPs directly into the placenta with increased delivery of mRNA</li>
	<li>Enables precise tuning of LNP elasticity through cholesterol analog incorporation</li>
	<li>Allows significantly increased uptake of mRNA in placental trophoblast cells</li>
</ul>

<p>Stage of Development:<br />
</p>

<ul>
	<li>Preclinical Discovery</li>
</ul>

<p><br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/25-10884_image01.jpeg"  /><br />
<br />
&lt;rss.caption<br />
Schematic of Modified LNPs and Properties (a) Schematic of LNP synthesis via phase mixing (b) Schematic of tunable LNP elasticity through cholesterol analog incorporation (c) In vivo imaging system (IVIS) imaging images showing luciferase mRNA delivery to the placenta and fetus (d,e) Quantification of LNP-delivered luciferase mRNA in placentas and fetuses<br />
Intellectual Property:<br />
</p>

<ul>
	<li>US Patent <a href="https://patents.google.com/patent/US20250352472A1/en?oq=US19%2f288%2c484" target="_blank">Pending</a></li>
</ul>

<p>Reference Media:<br />
</p>

<ul>
	<li>Safford, HC et al.; <a href="https://pubs.acs.org/doi/10.1021/acs.nanolett.4c06241" target="_blank">Nano Lett 2025 March 26; 25(12): 4800</a></li>
	<li>Swingle, K et al.; <a href="https://pubs.acs.org/doi/10.1021/jacs.2c12893" target="_blank">J Am Chem Soc 2023 March1; 145(8): 4691</a></li>
	<li>Scheffler, I; <a href="https://www.seas.upenn.edu/stories/cooking-up-a-breakthrough-penn-engineers-refine-lipid-nanoparticles-for-better-mrna-therapies/" target="_blank">Penn Today, 2024 Nov 22</a></li>
</ul>

<p>Desired Partnerships:<br />
</p>

<ul>
	<li>License</li>
	<li>Co-development</li>
</ul>

<p>Docket #25-10884</p>]]></description><pubDate>Fri, 08 May 2026 14:23:32 GMT</pubDate><author>lbricha@upenn.edu</author><guid>https://www.canberra-ip.com/tech?title=Precise%2c_Efficient_Delivery_of_mRNA_Medicine_to_the_Placenta</guid><dataField:caseId>25-10884-TpNCS</dataField:caseId><dataField:lastUpdateDate>Fri, 08 May 2026 18:07:37 GMT</dataField:lastUpdateDate><dataField:brief>Using tiny lipid nanoparticles (LNPs) to improve mRNA medicine delivery and uptake in the placenta for healthier pregnancies</dataField:brief><dataField:contentproblem>Problem:</dataField:contentproblem><dataField:problem>The placenta is an important biological barrier that connects the mother and fetus while keeping their blood supplies separate, enabling nutrient and oxygen delivery and waste removal for healthy development. Abnormal development, such as in pre-eclampsia, can create serious health risks for both mother and baby during pregnancy. With no current existing cure, researchers are exploring lipid nanoparticles (LNPs) to deliver mRNA as a potential therapy. However, organ-specific LNP delivery requires modifying LNP properties like size, charge, stiffness, and stability, which influence efficacy and uptake. For treating developmental disorders like pre-eclampsia, there is a need for engineering LNP design for targeted delivery to placental cells.</dataField:problem><dataField:contentsolution>Solution:</dataField:contentsolution><dataField:solution><![CDATA[The authors developed a set of LNPs with varying elasticity for specific mRNA delivery to the placenta. These LNPs were formulated with either cholesterol or cholesterol analogs like campesterol, &beta;-sitosterol, or stigmasterol. These LNPs demonstrated improved mRNA delivery to the placenta in pregnant mice.]]></dataField:solution><dataField:contenttechnology>Technology:</dataField:contenttechnology><dataField:technology>The researchers created the LNPs as four component systems by combining an ionizable lipid that was previously identified for mRNA delivery to the placenta, as well as components like phospholipid, a cholesterol or cholesterol analog, and lipid-anchored polyethylene glycol (PEG) in a microfluidic device. The use of cholesterol and cholesterol analogs can change the elastic properties of LNPs, thus improving mRNA delivery to the placenta.</dataField:technology><dataField:contentadvantages>Advantages:</dataField:contentadvantages><dataField:advantages><![CDATA[</p>

<ul>
	<li>Allows specific delivery of LNPs directly into the placenta with increased delivery of mRNA</li>
	<li>Enables precise tuning of LNP elasticity through cholesterol analog incorporation</li>
	<li>Allows significantly increased uptake of mRNA in placental trophoblast cells]]></dataField:advantages><dataField:contentstage>Stage of Development:</dataField:contentstage><dataField:stage><![CDATA[</p>

<ul>
	<li>Preclinical Discovery]]></dataField:stage><dataField:image><![CDATA[<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/25-10884_image01.jpeg" style="height:540px; width:730px" /><br />]]></dataField:image><dataField:contentip>Intellectual Property:</dataField:contentip><dataField:ip><![CDATA[</p>

<ul>
	<li>US Patent <a href="https://patents.google.com/patent/US20250352472A1/en?oq=US19%2f288%2c484" target="_blank">Pending</a>]]></dataField:ip><dataField:contentreference>Reference Media:</dataField:contentreference><dataField:reference><![CDATA[</p>

<ul>
	<li>Safford, HC et al.; <a href="https://pubs.acs.org/doi/10.1021/acs.nanolett.4c06241" target="_blank">Nano Lett 2025 March 26; 25(12): 4800</a></li>
	<li>Swingle, K et al.; <a href="https://pubs.acs.org/doi/10.1021/jacs.2c12893" target="_blank">J Am Chem Soc 2023 March1; 145(8): 4691</a></li>
	<li>Scheffler, I; <a href="https://www.seas.upenn.edu/stories/cooking-up-a-breakthrough-penn-engineers-refine-lipid-nanoparticles-for-better-mrna-therapies/" target="_blank">Penn Today, 2024 Nov 22</a>]]></dataField:reference><dataField:contentpartnerships>Desired Partnerships:</dataField:contentpartnerships><dataField:partnerships><![CDATA[</p>

<ul>
	<li>License</li>
	<li>Co-development]]></dataField:partnerships><dataField:docket>Docket #25-10884</dataField:docket><dataField:inventorList><dataField:inventor><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Mitchell</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>SEAS-Bioengineering</dataField:department><dataField:emailAddress>mjmitch@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber>215-898-0882</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Hannah</dataField:firstName><dataField:lastName>Safford</dataField:lastName><dataField:title>Student</dataField:title><dataField:department>SEAS-Bioengineering</dataField:department><dataField:emailAddress>hsafford@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Kelsey</dataField:firstName><dataField:lastName>Swingle</dataField:lastName><dataField:title>Doctoral (Student)</dataField:title><dataField:department>SEAS-Bioengineering</dataField:department><dataField:emailAddress>kswingle@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Hannah</dataField:firstName><dataField:lastName>Geisler</dataField:lastName><dataField:title>PhD Student</dataField:title><dataField:department>SEAS - Bioengineering</dataField:department><dataField:emailAddress>hgeisler@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Bioengineering, Drug Delivery, Gene Therapy, Immunology, Immunotherapy, Women's Health, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Emma</dataField:firstName><dataField:lastName>Roszkowski</dataField:lastName><dataField:title>Technology Licensing Officer</dataField:title><dataField:department></dataField:department><dataField:emailAddress>eroszko@upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Next-Generation ROS Nanotherapy for Targeted Cancer Destruction</title><link>https://www.canberra-ip.com/tech/Next-Generation_ROS_Nanotherapy_for_Targeted_Cancer_Destruction</link><description><![CDATA[<p >Produces complementary reactive oxygen species in tumors, enabling efficient tumor killing without external activation </p>

<p ><strong>Background</strong> </p>

<p >Conventional cancer treatments such as surgery, chemotherapy, and radiotherapy are often invasive, non-specific, and associated with systemic toxicity and long-term side effects. Emerging nanomedicine approaches improve targeting but frequently rely on external energy sources, limiting clinical translation and effectiveness in deep or inaccessible tumors.</p>

<p ><br />
Chemodynamic therapy (CDT) offers a promising alternative by leveraging tumor microenvironment conditions to generate reactive oxygen species (ROS) in situ. However, existing CDT agents are constrained by limited catalytic efficiency and the inability to generate multiple ROS types simultaneously, resulting in suboptimal therapeutic outcomes. </p>

<p ><strong>Technology Description </strong>   <br />
The technology is a novel metal&ndash;organic framework nanoagent, Fe(II)-TCPP, composed of ferrous ions coordinated with porphyrin ligands and synthesized via a scalable solvothermal process. The material forms nanoneedle-like structures with high surface area, enabling enhanced catalytic activity.</p>

<p ><br />
Fe(II)-TCPP uniquely enables dual reactive oxygen species generation within a single platform. Hydroxyl radicals are produced via Fenton reactions, while singlet oxygen is generated through the Russell mechanism. This dual-pathway activity is activated under tumor microenvironment conditions, eliminating the need for external stimulation and enabling efficient in situ tumor cell destruction.</p>

<p ><img alt="" src="https://oregonstate.technologypublisher.com/files/sites/25-39a.jpg"  /><br />
<sub>Figure 1: Structural and physicochemical characterization of Cu-TCPP, Fe(III)-TCPP, and Fe(II)-TCPP.(A) Schematic illustration of the Fe(II)-TCPP synthesis strategy and resulting molecular structure. (B&ndash;F) Comparative analysis of Cu-TCPP, Fe(III)-TCPP, and Fe(II)-TCPP, including: (B) TEM images, (C) DLS size distribution, (D) zeta potential measurements, (E) UV&ndash;VIS absorption spectra, and (F) FTIR spectra. (G) High-resolution O 1s XPS spectra of TCPP and Fe(II)-TCPP. The black dashed lines indicate the characteristic binding energies of the two major oxygen species: C&ndash;OH and C═O. Green and purple curves correspond to the fitted C&ndash;OH and C═O components, respectively; the blue line represents the fitted baseline; the red line denotes the total fitted envelope; and gray dots show the experimental data. (H) XPS Fe 2p spectra of Fe(III)-TCPP and Fe(II)-TCPP for comparison of oxidation states.</sub></p>

<p ><img alt="" src="https://oregonstate.technologypublisher.com/files/sites/25-39b.jpg"  /><br />
<sub>Figure 2: Schematic illustration of dual ROS pathways. Graphic depicting how the new CDT nanoagent works. Credit: Parinaz Ghanbari</sub></p>

<p ><strong>Further Details</strong>   <br />
Full study available at:&nbsp;<a href="https://advanced.onlinelibrary.wiley.com/doi/10.1002/adfm.202529194" target="_blank">https://advanced.onlinelibrary.wiley.com/doi/10.1002/adfm.202529194</a></p>

<p >Newsroom Article:&nbsp;<a href="https://news.oregonstate.edu/news/new-cancer-killing-material-developed-oregon-state-university-nanomedicine-researchers" target="_blank">New cancer-killing material developed by Oregon State University nanomedicine researchers&nbsp;</a></p>

<p ><strong>Benefits</strong>   </p>

<ul>
	<li>First-in-class dual ROS-generating CDT nanoagent addressing a key limitation in the field</li>
	<li>No external activation required, supporting clinical feasibility and broader tumor access</li>
	<li>Enhanced efficacy through simultaneous ROS pathways and improved catalytic efficiency</li>
	<li>Selective tumor activity with minimal impact on healthy tissue</li>
	<li>Favorable safety profile with low cytotoxicity and strong hemocompatibility</li>
	<li>Demonstrated in vivo tumor suppression and prevention of recurrence in preclinical models</li>
	<li>Strong differentiation from existing CDT and nanomedicine platforms</li>
</ul>

<p ><strong>Applications</strong>   </p>

<ul>
	<li>Targeted cancer therapeutics, including breast cancer</li>
	<li>Treatment of solid tumors across multiple indications</li>
	<li>Next-generation chemodynamic therapy platforms</li>
	<li>ROS-mediated oncology therapeutics</li>
	<li>Combination therapy approaches with immuno-oncology or chemotherapy</li>
</ul>

<p ><strong>Opportunity</strong>   <br />
Available for licensing and collaborative development to advance a first-in-class nanomedicine platform with strong preclinical validation, clear mechanistic differentiation, and potential for broad oncology applications.</p>

<p ><strong>Status </strong>   <br />
U.S. Provisional Patent Application Filed. </p>

<p >This technology is supported by peer-reviewed data published in Advanced Functional Materials, demonstrating robust in vivo efficacy, tumor targeting, and dual ROS generation capability. </p>]]></description><pubDate>Fri, 08 May 2026 00:20:05 GMT</pubDate><author>advantage@oregonstate.edu</author><guid>https://www.canberra-ip.com/tech/Next-Generation_ROS_Nanotherapy_for_Targeted_Cancer_Destruction</guid><dataField:caseId>OSU-25-39</dataField:caseId><dataField:lastUpdateDate>Fri, 08 May 2026 00:20:47 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Oleh</dataField:firstName><dataField:lastName>Taratula</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>Dept. of Pharmaceutical Sciences (CoP)</dataField:department><dataField:emailAddress>oleh.taratula@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Olena</dataField:firstName><dataField:lastName>Taratula</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>College of Pharmacy</dataField:department><dataField:emailAddress>olena.taratula@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Chao</dataField:firstName><dataField:lastName>Wang</dataField:lastName><dataField:title>Postdoctoral Scholar</dataField:title><dataField:department>College of Pharmacy</dataField:department><dataField:emailAddress>wangc24@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>breast cancer, chemodynamic therapy (CDT), Fenton reaction, ferrous, immuno-oncology, metal-organic framework (MOF), nanomedicine, oncology therapeutics, porphyrin, reactive oxygen species (ROS), Russell mechanism, solid tumor, tumor microenvironment, tumor suppression, tumor targeting, tumour microenvironment, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Joe</dataField:firstName><dataField:lastName>Christison</dataField:lastName><dataField:title><![CDATA[Assistant Director, IP & Licensing]]></dataField:title><dataField:department>Advantage</dataField:department><dataField:emailAddress>joe.christison@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber>541-737-9016</dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Therapeutics</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>A Wearable, Waveguide-Integrated Optical System for Measuring Accommodation Changes in the Human Eye</title><link>https://www.canberra-ip.com/tech?title=A_Wearable%2c_Waveguide-Integrated_Optical_System_for_Measuring_Accommodation_Changes_in_the_Human_Eye</link><description><![CDATA[<p>This invention uses a waveguide as an optical combiner to integrate illumination, fixation, and imaging optics into a compact form factor to create a wearable, lightweight optical system for measuring accommodation changes in the human eye. By measuring the relative shift of the extracted beams, the system delivers a direct and highly sensitive way to detect accommodation. The design supports compact, alignment-tolerant, and wearable accommodation sensing, making it well suited for integration into near-eye devices, adaptive display technologies, and vision screening systems.<br />
<br />
<strong>Background:&nbsp;</strong><br />
Augmented reality (AR) is being more widely adopted all over the world. These systems, however, are fundamentally hindered by the Vergence-Accommodation Conflict (VAC). This is when there is a physiological mismatch because a display&rsquo;s fixed focal plane contradicts the depth cues perceived by the brain. Current strategies to address this issue rely on external cameras to track eye rotation, which adds bulk and fails to directly measure the physical deformation of the eye&#39;s internal lens. This technology addresses this issue by utilizing a waveguide-integrated optical system to monitor physical accommodation changes directly through the lens substrate.&nbsp;<br />
<br />
<strong>Applications:&nbsp;</strong></p>

<ul>
	<li>Near-eye devices</li>
	<li>Adaptive display systems</li>
	<li>Vision-screening applications</li>
</ul>

<p><br />
<strong>Advantages:&nbsp;</strong></p>

<ul>
	<li>Compact</li>
	<li>Alignment-tolerant</li>
	<li>Wearable</li>
	<li>Lightweight</li>
	<li>High-precision detection of accommodation changes</li>
</ul>]]></description><pubDate>Thu, 07 May 2026 22:12:19 GMT</pubDate><author>JianlingL@tla.arizona.edu</author><guid>https://www.canberra-ip.com/tech?title=A_Wearable%2c_Waveguide-Integrated_Optical_System_for_Measuring_Accommodation_Changes_in_the_Human_Eye</guid><dataField:caseId>UA26-123</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 22:12:19 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Hong</dataField:firstName><dataField:lastName>Hua</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>Optical Sciences</dataField:department><dataField:emailAddress>hhua@optics.arizona.edu</dataField:emailAddress><dataField:phoneNumber>520-626-8703</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Pengyinjie</dataField:firstName><dataField:lastName>Lyu</dataField:lastName><dataField:title>Graduate Research Assistant</dataField:title><dataField:department>Optical Sciences</dataField:department><dataField:emailAddress>lyupengyinjie@email.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Richard</dataField:firstName><dataField:lastName>Weite</dataField:lastName><dataField:title>Senior Licensing Manager, College of Optical Sciences</dataField:title><dataField:department>Tech Launch Arizona</dataField:department><dataField:emailAddress>RichardW@tla.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Imaging & Optics > Displays| Technology Classifications > Imaging & Optics > Lens & System Design| Technology Classifications > Imaging & Optics > Ophthalmology]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>A Wearable, Lightguide-Integrated Optical System of Wavefront Sensor for Measuring Aberration in the Human Eye</title><link>https://www.canberra-ip.com/tech?title=A_Wearable%2c_Lightguide-Integrated_Optical_System_of_Wavefront_Sensor_for_Measuring_Aberration_in_the_Human_Eye</link><description><![CDATA[<p>This invention uses a lightguide as an optical combiner to integrate illumination, fixation, and imaging optics into a single platform and create a wearable, lightweight optical system for measuring optical aberrations in the human eye. By using diffractive or geometric couplers, the invention allows ocular wavefronts to be measured at the same time while keeping the device lightweight and suitable for wearable use, making it useful for diagnostic equipment, eye testing, and augmented or virtual reality head-mounted displays.<br />
<br />
<strong>Background:&nbsp;</strong><br />
Many existing vision diagnostics are limited to taking static snapshots of the eye and cannot capture real-world fluctuations in ocular aberrations that are caused by factors such as pupil size changes, tear film instability, and fatigue. Standard aberrometers offer high precision but require bulky hardware and stationary patients. This technology aims to overcome these constraints by embedding a wavefront sensor directly into a wearable optical lightguide, allowing for continuous measurement of higher-order aberrations.&nbsp;<br />
<br />
<strong>Applications:&nbsp;</strong></p>

<ul>
	<li>Diagnostic instruments</li>
	<li>Ophthalmic testing</li>
	<li>Augmenter and virtual reality head-mounted displays</li>
	<li>Optical aberration measurement</li>
</ul>

<p><br />
<strong>Advantages:&nbsp;</strong></p>

<ul>
	<li>Mitigates vergence-accommodation conflict</li>
	<li>High-precision detection</li>
	<li>Lightweight</li>
	<li>Wearable</li>
	<li>Simultaneous measurements of ocular wavefronts</li>
</ul>]]></description><pubDate>Thu, 07 May 2026 22:11:57 GMT</pubDate><author>JianlingL@tla.arizona.edu</author><guid>https://www.canberra-ip.com/tech?title=A_Wearable%2c_Lightguide-Integrated_Optical_System_of_Wavefront_Sensor_for_Measuring_Aberration_in_the_Human_Eye</guid><dataField:caseId>UA26-122</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 22:11:57 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Hong</dataField:firstName><dataField:lastName>Hua</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>Optical Sciences</dataField:department><dataField:emailAddress>hhua@optics.arizona.edu</dataField:emailAddress><dataField:phoneNumber>520-626-8703</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Pengyinjie</dataField:firstName><dataField:lastName>Lyu</dataField:lastName><dataField:title>Graduate Research Assistant</dataField:title><dataField:department>Optical Sciences</dataField:department><dataField:emailAddress>lyupengyinjie@email.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Richard</dataField:firstName><dataField:lastName>Weite</dataField:lastName><dataField:title>Senior Licensing Manager, College of Optical Sciences</dataField:title><dataField:department>Tech Launch Arizona</dataField:department><dataField:emailAddress>RichardW@tla.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Imaging & Optics > Displays| Technology Classifications > Imaging & Optics > Lens & System Design| Technology Classifications > Imaging & Optics > Ophthalmology]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Targeted Nanocarriers for Brain Inflammation and Cancer Cachexia</title><link>https://www.canberra-ip.com/tech/Targeted_Nanocarriers_for_Brain_Inflammation_and_Cancer_Cachexia</link><description><![CDATA[<p >Nanocarriers deliver anti-inflammatory therapeutics across the blood-brain barrier to activated microglia </p>

<p ><strong>Background</strong>   <br />
Delivering therapeutics to the brain remains a major drug-development challenge because the blood-brain barrier restricts systemic agents from reaching therapeutically relevant concentrations in the central nervous system. This barrier is especially problematic for conditions involving hypothalamic inflammation, where therapeutics must not only enter the brain but also reach activated microglia, immune cells that contribute to inflammatory signaling and appetite dysregulation. The published study and OSU Newsroom describe cancer cachexia as a serious wasting syndrome associated with advanced cancers, including pancreatic cancer, and identify hypothalamic inflammation as a key contributor to disrupted appetite and metabolism.</p>

<p ><br />
Current approaches for systemic anti-inflammatory therapy are limited by poor blood-brain barrier penetration and limited cell-type targeting. The OSU technology addresses this gap with a nanocarrier platform designed to transport anti-inflammatory payloads across the blood-brain barrier and preferentially deliver them to activated microglia in inflamed hypothalamic tissue. </p>

<p ><strong>Technology Description </strong>   <br />
This technology is a dual-targeted polymeric nanocarrier platform for systemic delivery of anti-inflammatory therapeutics to the brain, with a demonstrated focus on hypothalamic neuroinflammation and cancer-associated cachexia. The platform uses a polymeric nanocarrier architecture engineered with two targeting functions: one to support blood-brain barrier penetration and one to support interaction with activated microglia. In the published proof-of-concept studies, the nanocarriers were loaded with zimlovisertib, an IRAK4 inhibitor, to suppress inflammatory signaling in target tissue.</p>

<p ><br />
At a high level, the nanocarrier is designed to encapsulate poorly water-soluble small-molecule payloads, circulate after intravenous administration, cross the blood-brain barrier, accumulate in the hypothalamus, and release payload intracellularly in response to the reducing environment found inside target cells. The manuscript reports that the nanocarrier system uses a biodegradable polymeric core-shell design, supports hydrophobic payload loading, and exhibits glutathione-responsive release behavior. Public listing language should avoid disclosing precise formulation ratios, peptide sequences, manufacturing conditions, or unpublished optimization details unless approved by patent counsel.</p>

<p ><br />
The technology has been demonstrated in multiple preclinical systems. In an in vitro blood-brain barrier/microglia co-culture model, dual-functionalized nanocarriers showed enhanced uptake by pro-inflammatory microglia after crossing an endothelial barrier model. In mouse studies, the nanocarriers accumulated in brain and hypothalamic tissue after intravenous administration and showed evidence of microglial targeting by immunohistochemistry. In an acute lipopolysaccharide-induced neuroinflammation model, treatment reduced inflammatory markers and improved food intake and body-weight measures. In a pancreatic cancer-associated cachexia mouse model, treatment improved food intake, body-weight maintenance, and muscle preservation relative to controls.</p>

<p ><br />
Preclinical proof of concept has been demonstrated in laboratory models and relevant mouse disease models.</p>

<p ><br />
<strong>Evidence / Validation:</strong> Dual-targeted nanocarriers increased brain and hypothalamus accumulation compared with non-targeted or single-targeted controls, including 1.4-fold higher brain and 1.8-fold higher hypothalamic signal compared with the blood-brain-barrier-targeted formulation in an acute neuroinflammation model. In the pancreatic cancer cachexia model, dual-targeted nanocarriers showed 4.1-fold higher brain and 3.0-fold higher hypothalamic signal compared with non-targeted controls. Treatment studies reported reduced pro-inflammatory cytokine expression, increased food intake, improved body-weight maintenance, and reduced cachexia-associated gastrocnemius muscle loss by approximately 50% relative to controls.</p>

<p ><img alt="" src="https://oregonstate.technologypublisher.com/files/sites/24-50.jpg"  /><br />
<sub>Figure 1: Dual-targeting nanocarriers</sub></p>

<p >&nbsp;</p>

<p ><strong>Further Details</strong>   <br />
Further Details: Y. T.Goo, V.Grigoriev, T.Korzun, K. S.Sharma, P.Singh, O. R.Taratula, D. L.Marks, O.Taratula, Blood-Brain Barrier-Penetrating Nanocarriers Enable Microglial-Specific Drug Delivery in Hypothalamic Neuroinflammation. Adv. Healthcare Mater.2025, 14, 2500521. <a href="https://doi.org/10.1002/adhm.202500521" target="_blank">https://doi.org/10.1002/adhm.202500521</a><a href="https://doi.org/10.1002/adhm.202500521" target="_blank">.</a></p>

<p ><strong>Benefits</strong>   </p>

<ul>
	<li><strong>Targets a major CNS delivery bottleneck:</strong> Designed for systemic delivery across the blood-brain barrier, addressing a central limitation of many anti-inflammatory and CNS therapeutic candidates.</li>
	<li><strong>Adds cell-type targeting within the brain:</strong> Combines blood-brain barrier penetration with activated microglia targeting, supporting more focused delivery to inflammatory cells implicated in hypothalamic dysfunction.</li>
	<li><strong>Demonstrated in disease-relevant preclinical models:</strong> Validated in both acute neuroinflammation and pancreatic cancer-associated cachexia mouse models.</li>
</ul>

<p ><strong>Applications</strong>   </p>

<ul>
	<li>Treatment or prevention strategies for cancer-associated cachexia, particularly cachexia involving hypothalamic inflammation</li>
	<li>CNS drug delivery for IRAK4 inhibitors and other anti-inflammatory small molecules</li>
</ul>

<p ><strong>Opportunity</strong>   <br />
OSU is seeking partners to advance a preclinical nanocarrier platform for targeted brain delivery of anti-inflammatory therapeutics. The most appropriate near-term opportunities <strong>are licensing, co-development, sponsored research,</strong> and <strong>preclinical validation partnerships</strong> with companies active in CNS drug delivery, neuroinflammation, cancer cachexia, supportive oncology, or nanomedicine formulation development.</p>

<p ><br />
A partner could help optimize payload selection, formulation robustness, manufacturability, pharmacokinetics, biodistribution, repeat-dose safety, and efficacy in additional disease models. Longer-term development would likely require IND-enabling toxicology, scalable CMC, regulatory strategy, and assessment of whether the platform should be developed as a standalone cachexia therapeutic, a CNS delivery platform, or a payload-specific product candidate.</p>

<p ><br />
<strong>Third-party payload considerations:</strong> Zimlovisertib/PF-06650833 is an IRAK4 inhibitor previously studied by a large pharmaceutical company; freedom to operate and rights to commercialize any zimlovisertib-containing product should be reviewed separately from OSU&rsquo;s nanocarrier IP. </p>

<p ><strong>Status </strong>   <br />
U.S. Provisional Patent Application No. 63/845,304</p>]]></description><pubDate>Thu, 07 May 2026 19:21:45 GMT</pubDate><author>advantage@oregonstate.edu</author><guid>https://www.canberra-ip.com/tech/Targeted_Nanocarriers_for_Brain_Inflammation_and_Cancer_Cachexia</guid><dataField:caseId>OSU-24-50</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 21:46:14 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Oleh</dataField:firstName><dataField:lastName>Taratula</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>Dept. of Pharmaceutical Sciences (CoP)</dataField:department><dataField:emailAddress>oleh.taratula@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Olena</dataField:firstName><dataField:lastName>Taratula</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>College of Pharmacy</dataField:department><dataField:emailAddress>olena.taratula@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Yoon Tae</dataField:firstName><dataField:lastName>Goo</dataField:lastName><dataField:title>Postdoctoral Scholar</dataField:title><dataField:department>Pharmacy</dataField:department><dataField:emailAddress>ytgoo@cha.ac.kr</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>anti-inflammatory, Anti-inflammatory drugs, biodegradable, biodistribution, blood-brain barrier, brain delivery, brain inflammation, CNS drug delivery, cytokine expression, Drug Delivery, Drug Development, glutathione, immune cell, immunohistochemistry, irak4 inhibitor, lipopolysaccharides, microglia, mouse model, nanocarrier, nanocarriers, nanomedicine, neuroinflammation, pancreatic cancer, pharmaceuticals, pharmacokinetics, preservation, pro-inflammatory cytokine, small molecules, water-soluble, weight maintenance, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Joe</dataField:firstName><dataField:lastName>Christison</dataField:lastName><dataField:title><![CDATA[Assistant Director, IP & Licensing]]></dataField:title><dataField:department>Advantage</dataField:department><dataField:emailAddress>joe.christison@oregonstate.edu</dataField:emailAddress><dataField:phoneNumber>541-737-9016</dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Therapeutics</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Faster Distributed Systems Using Quasi-Synchrony</title><link>https://www.canberra-ip.com/tech/Faster_Distributed_Systems_Using_Quasi-Synchrony</link><description><![CDATA[<p>A way to organize distributed systems for data centers that require fewer resources and increase efficiency and predictability. <br />
Problem: <br />
Many distributed systems today are built on the assumption that the system is asynchronous - that packets can be lost or delayed arbitrarily and that clocks are at most weakly synchronized. This assumption results in systems that are extremely robust, but it also leads to countless difficult challenges, including complex coordination, slow failure detection, high resource requirements, high tail latencies, etc. However, for current data-center hardware, this assumption is also quite pessimistic - current nodes and switches can deliver far better performance, as long as the system is structured carefully to take advantage of them. <br />
Solution: <br />
This invention describes a way to structure a distributed system as &quot;quasi-synchronous&rdquo; with tightly synchronized clocks and carefully scheduled network transmissions. By coordinating communication through predetermined time slots and assuming bounded clock differences and limited consecutive packet loss, nodes can exchange messages in a predictable, clock-driven manner. This approach reduces coordination overhead and allows replicas to process requests deterministically, and to distinguish between packet loss and node failures more quickly, enabling faster recovery. A state-machine replication (SMR) system has been implemented as a case study and shows much higher performance than state-of-the-art solutions. <br />
Technology: <br />
The invention describes several techniques that can be used to make distributed systems quasi-synchronous - including a way to schedule the network to avoid queueing delays and to achieve delivery by a specified deadline; a way to detect node failures based on the absence of expected transmissions; and a way to handle occasional packet losses despite the tight timing guarantees. A specific protocol for state-machine replication is provided as an example, but the technology should be applicable to a wide range of distributed systems. Experiments show a throughput improvement by two orders of magnitude, while using half as many replicas as state-of-the-art solutions. <br />
Advantages: <br />
</p>

<ul>
	<li>Deterministic clock-driven scheduling reduces coordination overhead in replicated distributed services</li>
	<li>Predictable network timing enables significantly lower tail latency compared with asynchronous consensus protocols</li>
	<li>Rapid failure detection distinguishes packet loss from crashes without long timeout delays</li>
	<li>Preplanned transmission schedules prevent congestion and stabilize communication across replicas</li>
	<li>High throughput replication suited for modern controlled data-center infrastructure </li>
</ul>

<p>Stage of Development: <br />
</p>

<ul>
	<li>Proof-of-concept </li>
</ul>

<p><br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11452_image_014.jpg"  /><br />
<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11452_image_02.jpg"  /><br />
<br />
</p>

<p>Figure A): Illustrates the overall system architecture. Clients send requests to a set of replica servers that each run the same application and maintain synchronized state. Replicas communicate with one another through a dedicated replica network to exchange replication messages and maintain consistent ordering of requests. In addition, replicas receive a shared timing signal through a separate clock network, which keeps their clocks closely synchronized. Separating the client network, replica network, and clock synchronization channel enables replicas to coordinate communication and processing in a predictable, time-driven manner.</p>

<p>Figure B): Illustrates the scheduled communication model used between replicas. Figure B (left) shows the network topology and how replicas are connected through switches that forward messages between servers. Figure B (right) shows a time-based transmission schedule in which each replica is assigned specific time slots to broadcast messages. The schedule accounts for network delays and small clock differences so that packets arrive without causing congestion or queue buildup. By following this predetermined schedule, replicas exchange messages in a controlled sequence that enables deterministic system behavior. <br />
Intellectual Property: <br />
</p>

<ul>
	<li>Provisional Filed </li>
</ul>

<p>Reference Media: <br />
</p>

<ul>
	<li>Newatia, K. et. al.,&nbsp;<a href="https://nines-conference.org/papers/p026-Newatia.pdf" target="_blank">NINeS, 2026 Mar 19; Article 26: 26:1</a>&nbsp;</li>
</ul>

<p>Desired Partnerships: <br />
</p>

<ul>
	<li>License</li>
	<li>Co-Development </li>
</ul>

<p>Docket #26-11452 </p>

<p>&nbsp;</p>]]></description><pubDate>Thu, 07 May 2026 19:10:24 GMT</pubDate><author>lbricha@upenn.edu</author><guid>https://www.canberra-ip.com/tech/Faster_Distributed_Systems_Using_Quasi-Synchrony</guid><dataField:caseId>26-11452-tpNCS</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 19:38:58 GMT</dataField:lastUpdateDate><dataField:brief>A way to organize distributed systems for data centers that require fewer resources and increase efficiency and predictability.</dataField:brief><dataField:contentproblem>Problem:</dataField:contentproblem><dataField:problem>Many distributed systems today are built on the assumption that the system is asynchronous - that packets can be lost or delayed arbitrarily and that clocks are at most weakly synchronized. This assumption results in systems that are extremely robust, but it also leads to countless difficult challenges, including complex coordination, slow failure detection, high resource requirements, high tail latencies, etc. However, for current data-center hardware, this assumption is also quite pessimistic - current nodes and switches can deliver far better performance, as long as the system is structured carefully to take advantage of them.</dataField:problem><dataField:contentsolution>Solution:</dataField:contentsolution><dataField:solution><![CDATA[This invention describes a way to structure a distributed system as &quot;quasi-synchronous&rdquo; with tightly synchronized clocks and carefully scheduled network transmissions. By coordinating communication through predetermined time slots and assuming bounded clock differences and limited consecutive packet loss, nodes can exchange messages in a predictable, clock-driven manner. This approach reduces coordination overhead and allows replicas to process requests deterministically, and to distinguish between packet loss and node failures more quickly, enabling faster recovery. A state-machine replication (SMR) system has been implemented as a case study and shows much higher performance than state-of-the-art solutions.]]></dataField:solution><dataField:contenttechnology>Technology:</dataField:contenttechnology><dataField:technology>The invention describes several techniques that can be used to make distributed systems quasi-synchronous - including a way to schedule the network to avoid queueing delays and to achieve delivery by a specified deadline; a way to detect node failures based on the absence of expected transmissions; and a way to handle occasional packet losses despite the tight timing guarantees. A specific protocol for state-machine replication is provided as an example, but the technology should be applicable to a wide range of distributed systems. Experiments show a throughput improvement by two orders of magnitude, while using half as many replicas as state-of-the-art solutions.</dataField:technology><dataField:contentadvantages>Advantages:</dataField:contentadvantages><dataField:advantages><![CDATA[</p>

<ul>
	<li>Deterministic clock-driven scheduling reduces coordination overhead in replicated distributed services</li>
	<li>Predictable network timing enables significantly lower tail latency compared with asynchronous consensus protocols</li>
	<li>Rapid failure detection distinguishes packet loss from crashes without long timeout delays</li>
	<li>Preplanned transmission schedules prevent congestion and stabilize communication across replicas</li>
	<li>High throughput replication suited for modern controlled data-center infrastructure]]></dataField:advantages><dataField:contentstage>Stage of Development:</dataField:contentstage><dataField:stage><![CDATA[</p>

<ul>
	<li>Proof-of-concept]]></dataField:stage><dataField:image><![CDATA[<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11452_image_014.jpg" style="height:351px; width:725px" /><br />
<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11452_image_02.jpg" style="height:168px; width:624px" /><br />]]></dataField:image><dataField:caption><![CDATA[</p>

<p>Figure A): Illustrates the overall system architecture. Clients send requests to a set of replica servers that each run the same application and maintain synchronized state. Replicas communicate with one another through a dedicated replica network to exchange replication messages and maintain consistent ordering of requests. In addition, replicas receive a shared timing signal through a separate clock network, which keeps their clocks closely synchronized. Separating the client network, replica network, and clock synchronization channel enables replicas to coordinate communication and processing in a predictable, time-driven manner.</p>

<p>Figure B): Illustrates the scheduled communication model used between replicas. Figure B (left) shows the network topology and how replicas are connected through switches that forward messages between servers. Figure B (right) shows a time-based transmission schedule in which each replica is assigned specific time slots to broadcast messages. The schedule accounts for network delays and small clock differences so that packets arrive without causing congestion or queue buildup. By following this predetermined schedule, replicas exchange messages in a controlled sequence that enables deterministic system behavior.]]></dataField:caption><dataField:contentip>Intellectual Property:</dataField:contentip><dataField:ip><![CDATA[</p>

<ul>
	<li>Provisional Filed]]></dataField:ip><dataField:contentreference>Reference Media:</dataField:contentreference><dataField:reference><![CDATA[</p>

<ul>
	<li>Newatia, K. et. al.,&nbsp;<a href="https://nines-conference.org/papers/p026-Newatia.pdf" target="_blank">NINeS, 2026 Mar 19; Article 26: 26:1</a>&nbsp;]]></dataField:reference><dataField:contentpartnerships>Desired Partnerships:</dataField:contentpartnerships><dataField:partnerships><![CDATA[</p>

<ul>
	<li>License</li>
	<li>Co-Development]]></dataField:partnerships><dataField:docket>Docket #26-11452</dataField:docket><dataField:inventorList><dataField:inventor><dataField:firstName>Andreas</dataField:firstName><dataField:lastName>Haeberlen</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department><![CDATA[SEAS-Computer & Information Science]]></dataField:department><dataField:emailAddress>ahae@cis.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Robert</dataField:firstName><dataField:lastName>Gifford</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department><![CDATA[SEAS-Computer & Information Science]]></dataField:department><dataField:emailAddress>rgif@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Linh Thi Xuan</dataField:firstName><dataField:lastName>Phan</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department><![CDATA[SEAS-Computer & Information Science]]></dataField:department><dataField:emailAddress>linhphan@cis.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Qingjie</dataField:firstName><dataField:lastName>Lu</dataField:lastName><dataField:title></dataField:title><dataField:department><![CDATA[SEAS-Computer & Information Science]]></dataField:department><dataField:emailAddress>andylu@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Karan</dataField:firstName><dataField:lastName>Newatia</dataField:lastName><dataField:title>PhD Student</dataField:title><dataField:department><![CDATA[SEAS-Computer & Information Science]]></dataField:department><dataField:emailAddress>knewatia@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Data Science, Software, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Robert</dataField:firstName><dataField:lastName>Ljungberg</dataField:lastName><dataField:title>Licensing Officer, Physical Sciences and Engineering</dataField:title><dataField:department>Penn Center for Innovation</dataField:department><dataField:emailAddress>robertlj@upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Computer Information Systems]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Targeted Nanoparticle-Mediated HIF Stabilization in Myeloid Cells for Enhanced Transplant Tolerance</title><link>https://www.canberra-ip.com/tech/Targeted_Nanoparticle-Mediated_HIF_Stabilization_in_Myeloid_Cells_for_Enhanced_Transplant_Tolerance</link><description><![CDATA[<p ><strong>SHORT DESCRIPTION</strong><br />
A PEG-PPS nanoparticle technology for targeted delivery of roxadustat to myeloid cells to promote transplantation tolerance.</p>


	
		
			<strong>INVENTORS</strong>

			<ul>
				<li>Edward Thorp*

				<ul>
					<li>Northwestern University Feinberg School of Medicine, Department of Pathology</li>
				</ul>
				</li>
				<li>Evan Scott*
				<ul>
					<li>McCormick School of Engineering, Department of Biomedical Engineering **Now at University of Virginia**</li>
				</ul>
				</li>
				<li>Matthew DeBerge</li>
			</ul>
			 <em>* Principal Investigator</em>
			
			<p ><strong>NU Tech ID:</strong> NU 2023-184</p>

			<p ><strong>IP STATUS</strong></p>

			<p >PCT Application pending (<a href="https://patents.google.com/patent/WO2025101966A1/en?oq=PCT%2fUS2024%2f055220" target="_blank">PCT/US2024/055220</a>)</p>

			<p ><strong>DEVELOPMENT STAGE</strong></p>

			<p >TRL-5&nbsp;- Prototype Validated in Relevant Environment: Preclinical testing in mouse models validated immunomodulatory potential.</p>
			
		
	


<p ><strong>BACKGROUND</strong><br />
<img alt="" src="https://nulive.technologypublisher.com/files/sites/2023-184.jpg"  />Heart and other solid-organ transplants are life-saving for patients with advanced organ failure, but long-term outcomes are limited by immune rejection of the foreign tissue. Strategies for treating this issue rely on broad immunosuppressants, but standard regimens (calcineurin inhibitors, antiproliferative agents, steroids, and mTOR inhibitors)&nbsp;are linked to serious complications, including infections, kidney damage, malignancies, metabolic disease, and accelerated graft vessel disease. There is a&nbsp;clear unmet need for new solutions that can preserve graft acceptance while reducing the long-term harms and practical burden of chronic immunosuppression.&nbsp;An attractive alternative is to target just the immune cells involved in organ rejection. Such a targeted approach would suppress activity locally around the transplant, without broad immunosuppressive effects, increasing likelihood of transplant acceptance, while decreasing side effects of therapies. Myeloid cells represent a particularly attractive target for these therapies.</p>

<p ><strong>ABSTRACT</strong><br />
Northwestern researchers developed a targeted nanoparticle platform that enhances transplant tolerance by increasing the activity of a protein called HIF‑2&alpha; in myeloid cells. The core product is a spherical micelle nanocarrier made from a PEG‑b‑PPS block copolymer that encapsulates a HIF‑2&alpha;‑inducing agent such as roxadustat, and is designed to specifically targets myeloid cells (i.e. monocytes and macrophages). In a murine heart transplant models using co-stimulatory blockade, the inventors show that this approach boosted HIF‑2&alpha; and CSF1R expression and promoted the development of tolerogenic macrophages, reduced damaging T‑cell responses, supported regulatory T cells, and improved cardiac allograft survival with less vessel damage and fewer donor‑specific antibodies while reducing some systemic effects of free roxadustat such as high erythropoietin levels. This technology represents a novel and more selective strategy for long‑term graft protection.</p>

<p ><strong>APPLICATIONS</strong></p>

<ul>
	<li>Adjunct therapy to standard immunosuppression in heart transplantation</li>
	<li>Immune reprogramming to reduce rejection&nbsp;in solid‑organ and cell transplants&nbsp;</li>
	<li>Combination therapy with costimulatory‑blockade strategies&nbsp;</li>
	<li>Treatment of autoimmune or chronic inflammatory conditions</li>
</ul>

<p ><strong>ADVANTAGES</strong></p>

<ul>
	<li>Enhanced tolerogenic response</li>
	<li>Direct myeloid targeting</li>
</ul>

<p ><strong><img alt="" src="https://nulive.technologypublisher.com/files/sites/qr-code-2023-184.png"  />PUBLICATIONS</strong></p>

<ul>
	<li>Evan Scott, Edward Thorp et al, <a href="https://www.pnas.org/doi/epdf/10.1073/pnas.2319623121" target="_blank">Hypoxia inducible factor 2&alpha; promotes tolerogenic macrophage development during cardiac transplantation through transcriptional regulation of colony stimulating factor 1 receptor</a>, PNAS, 2024 Vol. 121 No. 26 e2319623121</li>
</ul>

<p ><strong>KEYWORDS</strong><br />
Nanoparticles, roxadustat, transplantation tolerance, macrophage-targeting, immunomodulation, HIF stabilization, heart transplant, PEG-PPS, nanoparticle delivery, tolerogenic macrophages</p>]]></description><pubDate>Thu, 07 May 2026 16:05:41 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech/Targeted_Nanoparticle-Mediated_HIF_Stabilization_in_Myeloid_Cells_for_Enhanced_Transplant_Tolerance</guid><dataField:caseId>2023-184</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 16:07:56 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Drug delivery, Immunotherapy, Nanoparticle, Therapeutics, Tolerance induction, Transplantation, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Fiske</dataField:lastName><dataField:title>Invention Manager</dataField:title><dataField:department>MED-NUIN</dataField:department><dataField:emailAddress>michael.fiske@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Targeting Autoimmunity-Associated T cells via AHR Pathway Control</title><link>https://www.canberra-ip.com/tech/Targeting_Autoimmunity-Associated_T_cells_via_AHR_Pathway_Control</link><description><![CDATA[<p ><strong>SHORT DESCRIPTION</strong><br />
Use of AHR agonists to inhibit pathogenic Tfh/Tph cell differentiation, potentially reducing disease activity.</p>


	
		
			
			<p ><strong>INVENTORS</strong></p>

			<ul>
				<li >&nbsp;Jaehyuk Choi*

				<ul >
					<li >Northwestern University Feinberg School of Medicine, Department of Dermatology&nbsp;**(Now at UT Southwestern)**</li>
				</ul>
				</li>
				<li >Deepak Rao
				<ul>
					<li >Brigham and Women&#39;s Hospital, Department of Medicine (Division of Rheumatology, Inflammation, and Immunity)&nbsp;</li>
				</ul>
				</li>
				<li >Calvin Law
				<ul>
					<li >Northwestern University Feinberg School of Medicine</li>
				</ul>
				</li>
			</ul>

			<p ><em>* Principal Investigator</em> </p>
			
			
			<p ><strong>NU Tech ID:</strong> NU 2023-127</p>

			<p ><strong>IP STATUS</strong></p>

			<p >US Patent pending</p>

			<p ><strong>DEVELOPMENT STAGE</strong></p>

			<p >TRL-3 - Experimental Proof-of-Concept: Key functions have been demonstrated in controlled in vitro assays.</p>
			
		
	


<p ><img src="https://nulive.technologypublisher.com/files/sites/image1945.png"  /><br />
<strong>BACKGROUND</strong></p>

<p >Autoimmune diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), Sjogren disease, or systemic sclerosis occur when the immune system attacks the body&#39;s own tissues, driving chronic inflammation and organ damage. SLE affects roughly 204,000 Americans, and RA affects about 10.6 million U.S. adults, with a disproportionate burden on women and on Black, Hispanic, and Indigenous communities. A central driver of these diseases is overactive T cells and B cells that leads to the generation of harmful autoantibodies. Current treatment relies on broad immune suppression and immune-modifying drugs, including hydroxychloroquine, steroids, immunosuppressants, and newer biologic therapies such as belimumab and anifrolumab. While these therapies can control disease for some patients, many still experience ongoing disease activity, flares, or incomplete responses, and long‑term steroid and immunosuppressant exposure carries significant safety concerns.&nbsp;Together, these shortcomings leave a substantial unmet need for new, mechanism-specific therapies that can achieve durable remission with fewer side effects.</p>

<p ><br />
<strong>ABSTRACT</strong><br />
Recently, T peripheral helper (Tph) cells, a specific population of B-cell-helping T cells marked by high output of the chemokine CXCL13, have been identified as a key driver of autoantibody production in lupus and RA.&nbsp;This&nbsp;therapeutic platform developed&nbsp;by Northwestern researchers&nbsp; aims to shut down these autoimmune T cells by regulating their internal control switches rather than broadly shutting down the immune system. It identifies&nbsp;the aryl hydrocarbon receptor (AHR) and defined transcription factors as key regulators of a T-cell program that promotes B‑cell activation via a chemokine called CXCL13, which is linked to disease activity and antibody production in lupus and rheumatoid arthritis. The inventors show that activating AHR can reduce the formation and function of these CXCL13‑producing T cells and support an alternative T‑cell state associated with more balanced immune activity. The technology&nbsp;provides compositions and methods that use AHR agonists alone, combined with regulatory transcription factors (AHR, JUN, FOS, ATF3, FOSL1, FOSL2), or paired with CRISPR-based gene editing, to reduce the differentiation and activity of CXCL13-producing Tph and Tfh cells that drive autoantibody-mediated autoimmune disease.&nbsp;Gene-editing, cell-culture, genomic, and patient-sample studies indicate that AHR activity restrains the harmful lupus-associated program, while interferon signaling pushes cells in the opposite direction. In patient-linked analyses, blocking type I interferon signaling reduced a lupus-associated blood signal and shifted T-cell populations away from the disease-driving state, further supporting the pathway&rsquo;s clinical relevance. This technology represents a potential first-in-class or best-in-class targeted strategy based on AHR activation or related pathway modulation&nbsp;to decrease pathological T cell populations in autoimmune conditions&nbsp;with a clearer mechanistic rationale than broad immune suppression.<br />
<br />
<strong>APPLICATIONS</strong></p>

<ul>
	<li >Treatment of systemic autoimmune diseases driven by autoantibodies</li>
	<li >Development of targeted AHR‑activating drugs or antibody&ndash;drug conjugates</li>
	<li >CRISPR‑based or vector‑based interventions</li>
	<li >Ex vivo modification of autologous T cells&nbsp;</li>
</ul>

<p ><br />
<strong>ADVANTAGES</strong></p>

<ul>
	<li >Defined disease mechanism&nbsp;</li>
	<li >Precision targeting</li>
	<li >Rapid modulation</li>
</ul>

<p ><br />
<strong><img alt="" src="https://nulive.technologypublisher.com/files/sites/qr-code-2023-127.png"  />PUBLICATIONS</strong></p>

<ul>
	<li >Jaehyuk Choi et al.,<a href="http://www.nature.com/articles/s41586-024-07627-2" target="_blank">&nbsp;Interferon subverts an AHR&ndash;JUN axis to promote CXCL13+ T cells in lupus.</a> Nature, 10 July 2024</li>
	<li >Dimmer, O.&nbsp;<a href="https://news.feinberg.northwestern.edu/2024/07/10/scientists-discover-a-cause-of-lupus-and-a-possible-way-to-reverse-it/" target="_blank">Scientists Discover a Cause of Lupus and a Possible Way to Reverse It</a>. Northwestern University Feinberg School of Medicine News Center. July 10, 2024</li>
</ul>

<p >&nbsp;</p>]]></description><pubDate>Thu, 07 May 2026 15:53:44 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech/Targeting_Autoimmunity-Associated_T_cells_via_AHR_Pathway_Control</guid><dataField:caseId>2023-127</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 16:02:43 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Autoimmune disease, Immunology, Immunotherapy, Inflammation, RA - Rheumatoid arthritis, SLE - Systemic lupus erythematosus, Small molecule, Therapeutics, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Fiske</dataField:lastName><dataField:title>Invention Manager</dataField:title><dataField:department>MED-NUIN</dataField:department><dataField:emailAddress>michael.fiske@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Antisense oligonucleotides to prevent genetic mis-splicing for ALS/FTD therapeutics</title><link>https://www.canberra-ip.com/tech?title=Antisense_oligonucleotides_to_prevent_genetic_mis-splicing_for_ALS%2fFTD_therapeutics</link><description><![CDATA[<p ><strong>SHORT DESCRIPTION</strong></p>

<p >Antisense oligonucleotides (ASOs) that correct TDP‑43&ndash;dependent mis‑splicing of KCNQ2 thereby reducing neuronal hyperexcitability in ALS/FTD&nbsp;and related TDP‑43 proteinopathies.</p>


	
		
			<strong>INVENTORS</strong>

			<ul>
				<li>Evangelos Kiskinis*

				<ul>
					<li>Northwestern University Feinberg School of Medicine, Department of Neurology</li>
				</ul>
				</li>
				<li>Jonathan Watts</li>
				<li>Wanhao Chi</li>
			</ul>

			<p ><em>* Principal Investigator</em></p>
			
			
			<p ><strong>NU Tech ID:</strong> NU 2023-020</p>

			<p ><strong>IP STATUS</strong></p>

			<p >US Patent pending</p>

			<p ><strong>DEVELOPMENT STAGE</strong></p>

			<p >TRL-3 Experimental Proof-of-Concept: Active R&amp;D is underway with preliminary validation in cellular models.</p>
			
		
	


<p ><img alt="" src="https://nulive.technologypublisher.com/files/sites/kcnq2_img.png"  /><strong>BACKGROUND</strong></p>

<p >Amyotrophic lateral sclerosis (ALS) is a rapidly fatal motor neuron disease with an incidence of roughly 2&ndash;3 per 100,000 person-years and a prevalence of about 7&ndash;9 per 100,000 in European and North American populations. Median survival from symptom onset is typically 2&ndash;4 years, and only a small minority of patients live beyond 10 years, making ALS one of the most devastating adult‑onset neurologic disorders. Frontotemporal dementia (FTD) is one of the most common causes of young-onset dementia, with pooled incidence estimates of roughly 2&ndash;4 per 100,000 and prevalence estimates of about 9&ndash;22 per 100,000. It causes profound behavioral, language, and executive dysfunction during working-age years. Currently available disease-modifying therapies for ALS do not directly tackle the root causes of neuronal hyperexcitability and provide only modest benefit, while the newer ASO therapy Tofersen is approved only for the small SOD1-mutant subset, leaving the &gt;90% of ALS cases without a targeted therapy. Moreover,&nbsp;there are currently no approved disease‑modifying therapies for FTD and management is symptomatic, largely off‑label, and supported by relatively weak trial evidence.&nbsp;ALS and FTD are now understood as two ends of a shared TDP-43 proteinopathy spectrum, with TDP-43 pathology present in approximately 90% of ALS and about 50% of FTD cases.&nbsp;TDP-43 pathology leads to nuclear depletion and cytoplasmic aggregation, which in turn causes mis-splicing of key mRNAs. This dysregulation compromises ion channel function and contributes to disease progression and worsening patient development.&nbsp;There is therefore a clear unmet need for therapies that directly correct TDP‑43&ndash;driven splice defects in key ion channel genes to normalize excitability and potentially slow or prevent disease.</p>

<p ><strong>ABSTRACT</strong></p>

<p ><img alt="" src="https://nulive.technologypublisher.com/files/sites/2023-0201.jpg"  />Northwestern researchers developed family of antisense oligonucleotides (ASOs), 10&ndash;30 nucleotides in length, designed to prevent TDP-43-dependent mis-splicing&nbsp;of KCNQ2, a key gene implicated in loss of functional ion channels, neuronal hyperexcitability, and earlier onset in ALS/FTD. This approach restores proper splicing in human iPSC-derived motor and cortical neurons subjected to TDP-43 depletion and patient tissue samples. The corrected splicing re-establishes functional Kv7.2 channels and reduces intrinsic hyperexcitability. The oligonucleotides use clinically validated chemistries, including phosphorothioate linkages and 2&#39;-O-methoxyethyl modifications, and are positioned as a CNS-directed, splice-correcting therapeutic platform for ALS and FTD that complements the precedent established by approved ASO medicines in neurology. This strategy offers a promising therapeutic avenue for ALS/FTD by directly addressing a key molecular defect.</p>

<p ><strong>APPLICATIONS</strong></p>

<ul>
	<li >ASO therapy for ALS/FTD with TDP-43 pathology</li>
	<li >Combination use with existing ALS agents or future TDP-43-directed therapies&nbsp;</li>
	<li >Diagnostic Biomarkers</li>
</ul>

<p ><strong>ADVANTAGES</strong>&nbsp;</p>

<ul>
	<li >Mechanistically precise targeting</li>
	<li >Restores proper ion channel function</li>
	<li >Enhances neuronal stability</li>
	<li >Broad addressable population</li>
</ul>

<p ><strong><img alt="" src="https://nulive.technologypublisher.com/files/sites/qr-code-2023-020.png"  />PUBLICATIONS</strong></p>

<ul>
	<li >Joseph BJ et al.,<a href="https://www.nature.com/articles/s41593-025-02096-w" target="_blank"> TDP-43-dependent mis-splicing of KCNQ2 triggers intrinsic neuronal hyperexcitability in ALS/FTD.</a>&nbsp;Nat Neurosci.&nbsp;Dec&nbsp;2025.</li>
</ul>]]></description><pubDate>Thu, 07 May 2026 15:05:55 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Antisense_oligonucleotides_to_prevent_genetic_mis-splicing_for_ALS%2fFTD_therapeutics</guid><dataField:caseId>2023-020</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 16:11:14 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>ALS - Amyotrophic Lateral Sclerosis, FTD - Frontotemporal Dementia, Neurodegenerative disease, Neurologic disease, Neurology, Nucleic Acids, Rare diseases, Targeted therapy, Therapeutics, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Fiske</dataField:lastName><dataField:title>Invention Manager</dataField:title><dataField:department>MED-NUIN</dataField:department><dataField:emailAddress>michael.fiske@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Incomplete Autophagy Induction for the Treatment of Cancer</title><link>https://www.canberra-ip.com/tech/Incomplete_Autophagy_Induction_for_the_Treatment_of_Cancer</link><description><![CDATA[<p ><strong>SHORT DESCRIPTION</strong><br />
This incomplete autophagy inducer triggers caspase-mediated apoptosis in cancer cells by inducing incomplete autophagy, leading to tumor reduction and improved survival.</p>

<p ><strong>INVENTORS</strong></p>


	
		
			<strong>INVENTORS</strong>

			<ul >
				<li>Maciej Lesniak* <!-- Affiliation can be added if available -->

				<ul>
					<li>Northwestern University Feinberg School of Medicine, Department of Neurological Surgery</li>
				</ul>
				</li>
				<li>Jawad Fares</li>
			</ul>
			 <em>* Principal Investigator</em>
			
			<p ><strong>NU Tech ID: </strong>NU 2021-245</p>

			<p ><strong>IP STATUS</strong></p>

			<p >US Patent pending.</p>

			<p ><strong>DEVELOPMENT STAGE</strong></p>

			<p >TRL-5 Prototype Validated in Relevant Environment: Efficacy confirmed in multiple preclinical models demonstrating tumor reduction and enhanced survival.</p>
			
		
	


<p ><strong>BACKGROUND</strong><br />
<img alt="" src="https://nulive.technologypublisher.com/files/sites/2021-245a.jpg"  />Brain metastases are the most common central nervous system malignancy, occurring in an estimated 10&ndash;30% of adults with cancer and accounting for the majority of intracranial tumors. They often manifest with neurological impairment that portends poor quality of life and limits survival outcomes. Breast cancer is the most common cancer among women, impacting 2.1 million per year, and it&nbsp;is also the most common cause of cancer related deaths in women, with rates increasing in nearly every region globally. HER2‑positive and triple‑negative breast cancers have particularly high brain metastasis rates, and while novel targeted therapies have improved systemic control and survival in these aggressive forms of cancer, they are limited by&nbsp;high toxicity and poor&nbsp;blood&ndash;brain barrier penetration which leads to the emergence or or progression of CNS metastases despite effective extracranial disease control. There is an urgent need for innovative approaches that can more effectively target breast cancer brain metastases (BCBM) while minimizing side effects.</p>

<p ><strong>ABSTRACT</strong></p>

<p >Northwestern researchers have developed a therapeutic strategy for cancer, especially breast, lung, melanoma, and primary brain tumors, based on&nbsp;incomplete autophagy induction&nbsp;to trigger caspase‑mediated apoptosis, with a particular focus on repurposing the CNS drug metixene (methixene) and related thioxanthene/piperidine small molecules.&nbsp;Instead of fully blocking or fully activating autophagy, the compounds drive an autophagic process that stalls before completion, leading to cellular stress, and apoptotic cell death in both primary and brain‑metastatic cancer cells while sparing normal tissue. The inventors describe methods of using such agents, including metixene, metixene HCl, and metixene hydrates, via systemic or local delivery and demonstrated significant decreases in cell viability and increased caspase activity in metastatic breast cancer models. In vivo, metixene reduces tumor size and extends survival in preclinical models of both primary breast cancer and brain metastases. The approach leverages modulation of autophagy pathways to induce apoptosis and offers a new avenue for cancer treatment.</p>

<p ><strong>APPLICATIONS</strong></p>

<ul >
	<li>Treatment of breast cancer brain metastases (BCBM)</li>
	<li>Treatment of brain metastases</li>
	<li>Breast cancer therapy</li>
	<li>Treatment of&nbsp;primary brain tumors&nbsp;and other CNS malignancies</li>
	<li>Combination therapy</li>
</ul>

<p ><strong>ADVANTAGES</strong></p>

<ul >
	<li>Mechanistic novelty</li>
	<li>Brain penetrant molecule</li>
	<li>Reduces tumor size and improves survival in mouse models</li>
</ul>

<p ><strong><img alt="" src="https://nulive.technologypublisher.com/files/sites/qr-code-2021-245.png"  />PUBLICATIONS</strong></p>

<ul >
	<li>Maciej Lesniak et al, <a href="https://www.jci.org/articles/view/161142" target="_blank">Metixene is an incomplete autophagy inducer in preclinical models of metastatic cancer and brain metastases</a>, J Clin Invest, Dec 15, 2023</li>
</ul>]]></description><pubDate>Thu, 07 May 2026 14:58:13 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech/Incomplete_Autophagy_Induction_for_the_Treatment_of_Cancer</guid><dataField:caseId>2021-245</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 15:03:45 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Brain cancer, Breast cancer, Cancer/Oncology, Lung cancer, Melanoma, Repurposed Drugs, Small molecule, Therapeutics, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Fiske</dataField:lastName><dataField:title>Invention Manager</dataField:title><dataField:department>MED-NUIN</dataField:department><dataField:emailAddress>michael.fiske@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Once-Weekly Glucocorticoid Steroid Dosing for Enhanced Muscle Function and Metabolic Health</title><link>https://www.canberra-ip.com/tech/Once-Weekly_Glucocorticoid_Steroid_Dosing_for_Enhanced_Muscle_Function_and_Metabolic_Health</link><description><![CDATA[<p ><strong>SHORT DESCRIPTION</strong></p>

<p >A glucocorticoid regimen that preserves the benefits of steroids on muscle mass and function while mitigating many of the metabolic and growth‑related toxicities seen with daily dosing in various inflammatory, autoimmune, respiratory, and neuromuscular disease settings.</p>


	
		
			<strong>INVENTORS</strong>

			<ul>
				<li><a href="https://www.feinberg.northwestern.edu/faculty-profiles/az/profile.html?xid=31091" target="_blank">Elizabeth McNally*, MD, PhD</a>

				<ul>
					<li>Northwestern University Feinberg School of Medicine, Department of Cardiology</li>
				</ul>
				</li>
				<li>Alexis Demonbreun</li>
				<li>Mattia Quattrocelli</li>
			</ul>
			 <em>* Principal Investigator</em>
			
			<p ><strong>NU Tech ID:</strong> 2018-192</p>

			<p ><strong>IP STATUS</strong></p>

			<p >US Patent Pending (<a href="https://patents.google.com/patent/US20220062299A1/en" target="_blank">17/416,792</a>)</p>

			<p ><strong>DEVELOPMENT STAGE</strong></p>

			<p >TRL-5 Prototype Validated in Relevant Environment: Animal studies in multiple murine models have confirmed enhanced muscle performance and improved metabolic parameters.</p>
			
		
	


<p ><strong>BACKGROUND</strong></p>

<p ><img alt="" src="https://nulive.technologypublisher.com/files/sites/2018-1922.jpg"  />Duchenne muscular dystrophy (DMD) is the most common childhood muscular dystrophy, affecting roughly 1 in 3,500&ndash;5,000 live male births worldwide and leading to progressive muscle weakness, loss of ambulation in early adolescence, cardiomyopathy, and premature mortality despite modern standards of care.&nbsp;Long‑term oral glucocorticoids are a cornerstone of DMD management because they improve strength, prolong ambulation, slow respiratory and cardiac decline, and reduce mortality. In fact, chronic systemic glucocorticoids are used across a broad range of inflammatory, autoimmune, respiratory, and neuromuscular diseases, including rheumatoid arthritis, severe asthma, COPD, lupus, inflammatory bowel disease (IBD), and DMD.&nbsp; These conditions collectively affect tens to hundreds of millions of people worldwide, and it is estimated that ~0.5% of the general population receives long-term steroid therapy at any given time.&nbsp;&nbsp;However, chronic daily dosing is known to cause muscle wasting, weakness, growth stunting, osteoporosis and fractures, obesity, and metabolic disorders which often limit adherence or force dose reduction or discontinuation.&nbsp;Clinical trials and meta‑analyses comparing daily versus intermittent regimens suggest that less‑frequent dosing can retain much of the functional benefit over 12&ndash;24 months while improving growth and bone outcomes, but the optimal schedule and underlying biology have remained unclear and practice patterns are heterogeneous.&nbsp; Therefore,&nbsp;there is a significant unmet need for a&nbsp;safer, more effective dosing glucocorticoid strategy&nbsp;that maintains or enhances muscle efficacy and energy metabolism while minimizing systemic toxicity and other adverse side effects.&nbsp;</p>

<p ><strong>ABSTRACT</strong></p>

<p >Northwestern researchers have developed a method&nbsp;of using once‑weekly high‑dose glucocorticoid therapy, exemplified by weekly prednisone, to prevent and treat conditions of muscle wasting, aging, and metabolic disorder by engaging pro‑ergogenic transcriptional programs and nutrient‑sensing pathways while avoiding the catabolic transcriptional signature induced by daily steroids. The inventors demonstrate that adjusting glucocorticoid administration to a once-weekly regimen improves muscle mass, strength, and overall metabolic function in rodent models, whereas daily dosing produced a muscle‑atrophy and proteolysis gene signature.. The approach leverages multi-omic analyses to show enhanced utilization of amino acids, glucose, and fatty acids and increased levels of beneficial biomarkers like adiponectin. The method minimizes typical adverse effects seen in daily dosing, such as osteoporosis, and offers a new therapeutic avenue for preventing and treating muscle wasting, aging, and metabolic disorders without compromising efficacy.</p>

<p ><strong>APPLICATIONS</strong></p>

<ul>
	<li>Treatment or prevention of muscle wasting</li>
	<li>Treatment or prevention of unhealthy aging</li>
	<li>Treatment or prevention of metabolic disorders</li>
	<li>Enhancement of exercise tolerance</li>
</ul>

<p ><strong>ADVANTAGES</strong></p>

<ul>
	<li>Mechanistically optimized regimen</li>
	<li>Improves both muscle performance and metabolic biomarkers for enhanced patient outcomes.</li>
	<li>Simple dosing regimen with multiple dosing routes</li>
</ul>

<p ><strong><img alt="" src="https://nulive.technologypublisher.com/files/sites/qr-code-2018-1921.png"  />PUBLICATIONS</strong></p>

<ul>
	<li>Quattrocelli M et al., <a href="https://insight.jci.org/articles/view/132402" target="_blank">Pulsed glucocorticoids enhance dystrophic muscle performance through epigenetic-metabolic reprogramming</a>, JCI Insight.&nbsp;Dec 19,&nbsp;2019</li>
	<li>Quattrocelli M et al., <a href="https://rupress.org/jem/article/219/5/e20211906/213107/Intermittent-prednisone-treatment-in-mice-promotes?guestAccessKey=" target="_blank">Intermittent prednisone treatment in mice promotes exercise tolerance in obesity through adiponectin.</a> J Exp Med.&nbsp;May 2,&nbsp;2022.</li>
	<li>Willis AB et al., <a href="https://www.nature.com/articles/s41598-024-79024-8" target="_blank">Serum protein and imaging biomarkers after intermittent steroid treatment in muscular dystrophy.</a> Sci Rep.&nbsp;Nov 20,&nbsp;2024.</li>
</ul>]]></description><pubDate>Thu, 07 May 2026 14:47:16 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech/Once-Weekly_Glucocorticoid_Steroid_Dosing_for_Enhanced_Muscle_Function_and_Metabolic_Health</guid><dataField:caseId>2018-192</dataField:caseId><dataField:lastUpdateDate>Mon, 11 May 2026 18:50:01 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Aging, DMD - Duchenne muscular dystrophy, Immunology, Inflammation, Metabolic disorders, Muscle metabolism, Rare diseases, Small molecule, Therapeutics, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Fiske</dataField:lastName><dataField:title>Invention Manager</dataField:title><dataField:department>MED-NUIN</dataField:department><dataField:emailAddress>michael.fiske@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: Acumen Pharmaceuticals, Inc.</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Acumen_Pharmaceuticals%2c_Inc.</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/acumen-300x150.jpg" /></div>

<p><strong>Founded: </strong>1996</p>

<p><strong>Northwestern Inventor: </strong><br />
<a href="https://inventions.invo.northwestern.edu/?q=William%20Klein" target="_blank">William Klein</a><br />
Weinberg College of Arts and Sciences<br />
Department of Neurobiology and Physiology</p>

<p><a href="https://inventions.invo.northwestern.edu/?q=Grant%20Krafft" target="_blank">Grant Krafft</a><br />
Feinberg School of Medicine<br />
Department of Molecular Pharmacology and Biological Chemistry</p>

<p>Acumen Pharmaceuticals develops therapeutics for Alzheimer&#39;s Disease (AD) based upon the discovery and characterization of amyloid-derived diffusible ligands (ADDLs)</p>

<p class="button"><a href="http://www.acumenpharm.com/" target="_blank">Acumen Pharmaceuticals Website</a></p>
</div>]]></description><pubDate>Thu, 07 May 2026 14:21:09 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Acumen_Pharmaceuticals%2c_Inc.</guid><dataField:caseId>MKT-PROJ-26-0050</dataField:caseId><dataField:lastUpdateDate>Thu, 07 May 2026 14:29:19 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Antibody, Neurodegenerative disease, Neurologic disease, Therapeutics, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics| Life Sciences > Healthcare Devices, Tools & IT]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Novel ZnO Nanowire-Based Hybrid Nanocarrier for Cancer Drug and Gene Delivery</title><link>https://www.canberra-ip.com/tech/Novel_ZnO_Nanowire-Based_Hybrid_Nanocarrier_for_Cancer_Drug_and_Gene_Delivery</link><description><![CDATA[<p>This invention relates to a novel tri-component nanocomposite system comprising commercially available zinc oxide nanowires (ZnO NWs) functionalized to simultaneously deliver both small-molecule drugs and genetic material to cancer cells. This hybrid nanocarrier platform addresses critical limitations of current cancer therapies, including poor tumor selectivity, systemic toxicity, and inability to co-deliver multiple therapeutic modalities.<br />
<br />
<strong>Background:&nbsp;</strong><br />
Cancer remains the second leading cause of death worldwide, with over 10 million deaths annually, driven in part by therapeutic resistance, poor tumor penetration, and systemic toxicity of conventional chemotherapies. Systemic drug administration often leads to insufficient tumor accumulation and off-target toxicity in organs such as the liver and kidneys, limiting efficacy and increasing adverse effects. Improving tumor specificity and enabling combinatorial delivery of small-molecule drugs and genetic therapies is therefore critical for advancing more effective cancer treatments. Nanocarrier-based platforms that implement nanowires, such as this invention, have emerged in modern cancer nanomedicine as they are able to penetrate tumor cells more efficiently and deliver multiple treatments at the same time, which can increase tumor elimination while reducing side effects compared with conventional drug delivery methods.<br />
<br />
<strong>Applications:&nbsp;</strong></p>

<ul>
	<li>Nanotechnology for drug delivery</li>
	<li>Cancer nanomedicine</li>
	<li>Theranostics</li>
</ul>

<p><br />
<strong>Advantages:&nbsp;</strong></p>

<ul>
	<li>Improved tumor selectivity and specificity</li>
	<li>Reduced systemic toxicity</li>
	<li>Applicable across multiple cancer types</li>
	<li>Potential combination therapies due to dual-payload capability</li>
</ul>]]></description><pubDate>Wed, 06 May 2026 17:40:08 GMT</pubDate><author>JianlingL@tla.arizona.edu</author><guid>https://www.canberra-ip.com/tech/Novel_ZnO_Nanowire-Based_Hybrid_Nanocarrier_for_Cancer_Drug_and_Gene_Delivery</guid><dataField:caseId>UA26-163</dataField:caseId><dataField:lastUpdateDate>Wed, 06 May 2026 17:40:08 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Prashant</dataField:firstName><dataField:lastName>Sharma</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>psharma1@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Mario</dataField:firstName><dataField:lastName>Otto</dataField:lastName><dataField:title>Professor, Division Chief</dataField:title><dataField:department>Child Health</dataField:department><dataField:emailAddress>motto@phoenixchildrens.com</dataField:emailAddress><dataField:phoneNumber>35 31 31 32</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Garrett</dataField:firstName><dataField:lastName>Edmunds</dataField:lastName><dataField:title>Licensing Manager, UAHS-TLA</dataField:title><dataField:department></dataField:department><dataField:emailAddress>gedmunds@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Healthcare Portfolios > Oncology| Technology Classifications > Life Sciences > Diagnostics| Technology Classifications > Life Sciences > Drug Delivery| Technology Classifications > Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>ERG-7 Inhibitors: Targeting the Sterol Biosynthetic Pathway</title><link>https://www.canberra-ip.com/tech?title=ERG-7_Inhibitors%3a_Targeting_the_Sterol_Biosynthetic_Pathway</link><description><![CDATA[<p>This invention relates to small molecule anti-fungal compounds, pharmaceutical compositions, and methods of use for the prevention, treatment, or mitigation of fungal diseases in human and veterinary subjects. In particular aspects, the invention provides inhibitors that modulate fungal sterol biosynthesis, including inhibitors of lanosterol synthase (ERG7). These can be used as a sole therapeutic or in combination with standard antifungals to improve efficacy.<br />
<br />
<strong>Background:&nbsp;</strong><br />
ERG7 inhibitors target the problem of rising antifungal resistance, particularly to azoles that act later in sterol biosynthesis. Unlike current therapies, such as azoles, echinocandins, polyenes, etc., that suffer from resistance, toxicity, or fungistatic effects, ERG7 inhibitors block an upstream, essential sterol step, causing fungicidal activity and reduced cross-resistance, though achieving fungal selectivity remains a key challenge.<br />
<br />
<strong>Applications:&nbsp;</strong></p>

<ul>
	<li>Small molecule inhibitor</li>
	<li>Antifungal therapeutic</li>
	<li>Combination antifungal therapy</li>
	<li>Human &amp; veterinary fungal prevention, treatment, and mitigation&nbsp;</li>
</ul>

<p><br />
<strong>Advantages:&nbsp;</strong></p>

<ul>
	<li>Selectivity between fungal ERG7 and human lanosterol synthase</li>
	<li>Can be used in combination with standard antifungals</li>
	<li>Addresses resistance to standard antifungals (azole-resistant fungi)</li>
	<li>Attacks fungal cell membrane formation</li>
	<li>Broad medication administration methods</li>
	<li>Reduce fungal related healthcare costs&nbsp;</li>
	<li>Expand available fungal prevention, treatment, and mitigation medications</li>
</ul>]]></description><pubDate>Wed, 06 May 2026 17:28:57 GMT</pubDate><author>JianlingL@tla.arizona.edu</author><guid>https://www.canberra-ip.com/tech?title=ERG-7_Inhibitors%3a_Targeting_the_Sterol_Biosynthetic_Pathway</guid><dataField:caseId>UA26-037</dataField:caseId><dataField:lastUpdateDate>Wed, 06 May 2026 17:28:57 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Rui</dataField:firstName><dataField:lastName>Xiong</dataField:lastName><dataField:title>Assist Professor</dataField:title><dataField:department><![CDATA[Pharmacy & Toxicology]]></dataField:department><dataField:emailAddress>rxiong@pharmacy.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Hongmin</dataField:firstName><dataField:lastName>Li</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>Pharmacology and Toxicology</dataField:department><dataField:emailAddress>hli1@pharmacy.arizona.edu</dataField:emailAddress><dataField:phoneNumber>518-473-5217</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Malla Reddy</dataField:firstName><dataField:lastName>Gannarapu</dataField:lastName><dataField:title>Postdoc</dataField:title><dataField:department>Pharma Tox</dataField:department><dataField:emailAddress>mallareddy@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Divakar</dataField:firstName><dataField:lastName>Indukuri</dataField:lastName><dataField:title>Post Doc</dataField:title><dataField:department>Pharmacology and Toxicology</dataField:department><dataField:emailAddress>divakarindukuri@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Anil</dataField:firstName><dataField:lastName>Tharappel</dataField:lastName><dataField:title>Researcher/Scientist III</dataField:title><dataField:department>Pharmacology and Toxicology</dataField:department><dataField:emailAddress>aniltharappel@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Ke</dataField:firstName><dataField:lastName>Chen</dataField:lastName><dataField:title>PhD student</dataField:title><dataField:department></dataField:department><dataField:emailAddress>kechen2@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Mengjiao</dataField:firstName><dataField:lastName>Ma</dataField:lastName><dataField:title>PhD student</dataField:title><dataField:department></dataField:department><dataField:emailAddress>mengjiaoma@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Garrett</dataField:firstName><dataField:lastName>Edmunds</dataField:lastName><dataField:title>Licensing Manager, UAHS-TLA</dataField:title><dataField:department></dataField:department><dataField:emailAddress>gedmunds@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Healthcare Portfolios > Infectious Diseases| Technology Classifications > Healthcare Portfolios > Neurology| Technology Classifications > Healthcare Portfolios > Respiratory & Pulmonary| Technology Classifications > Life Sciences > Small Molecules| Technology Classifications > Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Multi-Targeted Kinase Inhibitors Towards AML and Other Cancers</title><link>https://www.canberra-ip.com/tech/Multi-Targeted_Kinase_Inhibitors_Towards_AML_and_Other_Cancers</link><description><![CDATA[<p >This invention relates to small-molecule compounds that are potential therapeutics for Acute Myeloid Leukemia (AML), specifically AML with the FMS-like tyrosine kinase 3 (FLT3) mutation. The compounds also show activity versus Abl kinases, platelet-derived growth factor receptor (PDGFR), and the dual-specificity tyrosine regulated/Cdc2-like (DYRK/CLK) family of kinases, well-known targets for anti-cancer therapeutics. These compounds could be used in conjunction with the current AML therapeutic standard of care Gilteritinib, or as a standalone therapeutic, especially for patients that have developed resistance to Gilteritinib.&nbsp;<br />
<br />
<strong>Background:&nbsp;</strong><br />
Acute myeloid leukemia (AML) is a type of cancer that affects the blood and begins in the bone marrow, rapidly spreading into the bloodstream. It can sometimes extend to other areas of the body, such as the lymph nodes, liver, spleen, brain, spinal cord, and testicles. Among AML subtypes, FLT3 mutations are among the most frequent genetic alterations, occurring in about 25&ndash;35% of adult AML cases. These mutations confer an adverse prognosis, including higher relapse rates and shorter overall survival. Gilteritinib is the most widely used therapy for relapsed/refractory FLT3-mutated AML, but patients can develop drug resistance through mechanisms such as new FLT3 gene mutations or bypassing signaling pathways. This invention can be a potential second-line treatment to Gilteritinib for AML, for patients who have developed resistance to the Gilteritinib.<br />
<br />
<strong>Applications:&nbsp;</strong></p>

<ul>
	<li>Acute Myeloid Leukemia (AML) therapeutics</li>
	<li>Kinase inhibitors</li>
	<li>Personalized cancer treatment</li>
</ul>

<p ><br />
<strong>Advantages:&nbsp;</strong></p>

<ul>
	<li>Multi-targeted kinase inhibitor</li>
	<li>Combats Gilteritinib resistance</li>
	<li>Broader therapeutic potential</li>
</ul>]]></description><pubDate>Wed, 06 May 2026 17:25:26 GMT</pubDate><author>JianlingL@tla.arizona.edu</author><guid>https://www.canberra-ip.com/tech/Multi-Targeted_Kinase_Inhibitors_Towards_AML_and_Other_Cancers</guid><dataField:caseId>UA26-010</dataField:caseId><dataField:lastUpdateDate>Wed, 06 May 2026 17:25:26 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Christopher</dataField:firstName><dataField:lastName>Hulme</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department>Pharmacology and Toxicology</dataField:department><dataField:emailAddress>hulme@arizona.edu</dataField:emailAddress><dataField:phoneNumber>520-626-5322</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Alessandra</dataField:firstName><dataField:lastName>Fistrovich</dataField:lastName><dataField:title>Graduate Student</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>ahf@email.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Samantha</dataField:firstName><dataField:lastName>Rokey</dataField:lastName><dataField:title>Graduate Student</dataField:title><dataField:department>CBC</dataField:department><dataField:emailAddress>sammirokey@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Aidan</dataField:firstName><dataField:lastName>McMahon</dataField:lastName><dataField:title>Grad Student</dataField:title><dataField:department>CBC</dataField:department><dataField:emailAddress>aidanmcmahon@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Timothy</dataField:firstName><dataField:lastName>Chavez</dataField:lastName><dataField:title>Graduate Student</dataField:title><dataField:department>Chemistry and Biochemistry</dataField:department><dataField:emailAddress>chaveztim98@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Jennifer</dataField:firstName><dataField:lastName>Carew</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>Medicine</dataField:department><dataField:emailAddress>jcarew@email.arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Garrett</dataField:firstName><dataField:lastName>Edmunds</dataField:lastName><dataField:title>Licensing Manager, UAHS-TLA</dataField:title><dataField:department></dataField:department><dataField:emailAddress>gedmunds@arizona.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Healthcare Portfolios > Oncology| Technology Classifications > Life Sciences > Small Molecules| Technology Classifications > Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: NanoAl (Acquired by Braidy Industries)</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NanoAl_(Acquired_by_Braidy_Industries)</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/nanoal-300x150.jpg" /></div>

<p ><strong>Founded: </strong>2013</p>

<p ><strong>Northwestern Inventor: </strong><br />
<a href="https://inventions.invo.northwestern.edu/?q=David%20C.%20Dunand" target="_blank" title="view all other available technologies from this inventor">David C. Dunand</a><br />
McCormick School of Engineering and Applied Sciences<br />
Department of Materials Science and Engineering<br />
<a href="https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/dunand-david.html" target="_blank">Faculty Profile</a></p>

<p >David N. Seidman<br />
McCormick School of Engineering and Applied Sciences<br />
Department of Materials Science and Engineering<br />
<a href="https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/seidman-david.html" target="_blank">Faculty Profile</a></p>

<p >NanoAl, LLC, is a technology company dedicated to the design and development of high performance aluminum alloys. NanoAl alloys can be processed by conventional (casting) and non-conventional (powder metallurgy) methods, and have a wide range of application in the automotive, power transmission, and other industries.</p>

<p class="button" ><a href="http://nanoal.com/" target="_blank">NanoAl (Acquired by Braidy Industries) Website</a></p>
</div>]]></description><pubDate>Tue, 05 May 2026 20:55:25 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NanoAl_(Acquired_by_Braidy_Industries)</guid><dataField:caseId>MKT-PROJ-26-0120</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:55:25 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Metals, Startup with Northwestern IP, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Physical Sciences > Materials and Industrial Processes]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>A Fungal–Nanoparticle Delivery Platform for Targeted Therapeutic Transport Across the Blood–Brain Barrier</title><link>https://www.canberra-ip.com/tech?title=A_Fungal%e2%80%93Nanoparticle_Delivery_Platform_for_Targeted_Therapeutic_Transport_Across_the_Blood%e2%80%93Brain_Barrier</link><description><![CDATA[<h3><em>Immune-Evasive Fungal Carriers for Targeted, Noninvasive Central Nervous System Drug Delivery</em></h3>

<p>This fungal&ndash;nanoparticle drug delivery platform uses Cryptococcus neoformans (CN) for effective drug delivery to the central nervous system (CNS). More than 1.2 billion people worldwide are affected by neurological disorders, yet fewer than 2% of approved therapeutics successfully enter the central nervous system (CNS) for meaningful therapeutic effects. Evidently, there is a significant unmet need for drug delivery to the CNS to counteract a plethora of maladies including neurodegenerative diseases (e.g., amyotrophic lateral sclerosis; ALS), brain cancers (e.g., Gliobastoma Multiforme; GBM), traumatic nervous system injury, and epilepsy.</p>

<p>&nbsp;</p>

<p>Lou Gehrig&rsquo;s disease (ALS) affects over 200,000 individuals globally and remains a fatal neurodegenerative condition with only marginally effective treatment options. Current ALS therapies are limited to small-molecule drugs that rely on passive diffusion to enter the CNS. Despite their ability to cross the blood-brain barrier (BBB), these agents suffer from poor CNS bioavailability due to rapid systemic distribution and off-target accumulation, resulting in modest clinical benefit and dose-limiting side effects. Additional challenges include the blood&ndash;spinal cord barrier and physicochemical properties (e.g., solubility, molecular weight, stability, etc.) that restrict drug accumulation at sites of motor neuron degeneration.</p>

<p>&nbsp;</p>

<p>Glioblastoma (GBM) remains one of the most urgent and unmet needs in oncology. As the most aggressive primary brain tumor in adults, GBM is characterized by rapid growth, diffuse infiltration into surrounding brain tissue, and profound resistance to existing therapies. Despite decades of research, the standard of care&mdash;maximal surgical resection followed by radiation and chemotherapy with Temozolomide&mdash;offers only modest benefit, with median overall survival typically limited to 12&ndash;15 months and a five-year survival rate below 10%. The therapeutic challenge in GBM is driven by several factors: marked tumor heterogeneity, an immunosuppressive tumor microenvironment, and the protective Blood&ndash;brain barrier, which restricts effective drug delivery. In addition, GBM&rsquo;s infiltrative nature prevents complete surgical removal and contributes to nearly universal recurrence. There is a critical need for innovative therapeutic strategies that go beyond cytotoxic approaches. Emerging modalities&mdash;including targeted therapies, immune-based treatments, gene and cell therapies, and advanced drug delivery systems&mdash;aim to overcome these barriers, improve tumor specificity, and generate durable responses. However, clinical success has been limited to date, underscoring the urgency for continued investment in novel mechanisms and translational research.</p>

<p>&nbsp;</p>

<p>Researchers at the University of Florida have developed a fungal drug carrier platform for enhancing blood-brain barrier penetration and reducing off-target distribution. The platform exploits the natural immune evasiveness and CNS trafficking properties of an avirulent strain of Cryptococcus neoformans. The fungal carrier is surface-modified with drug-loaded nanoparticles, enabling immune-cell&ndash;mediated transport across the BBB and targeted delivery to the brain and spinal cord. The approach can significantly improve therapeutic efficacy, reduce dosing requirements, and minimize side effects. While initially developed for ALS, this platform is broadly applicable to a range of neurological and neurodegenerative disorders where effective CNS drug delivery remains a critical unmet need.</p>

<p>&nbsp;</p>

<h3>Application</h3>

<p>This fungal&ndash;nanoparticle delivery platform enables targeted transport of therapeutics across the blood&ndash;brain and blood&ndash;spinal cord barriers to improve CNS drug bioavailability and efficacy while minimizing off-target effects for the treatment of ALS and other neurological disorders</p>

<p>&nbsp;</p>

<h3>Advantages</h3>

<ul>
	<li>Leverages a naturally evolved BBB-crossing mechanism, enabling efficient, noninvasive transport of therapeutics into the CNS</li>
	<li>Avoids invasive CNS delivery methods, reducing patient risk, procedural complexity, and clinical cost compared to intrathecal or intracerebral administration</li>
	<li>Enables targeted and sustained drug release in the brain, increasing local therapeutic concentrations at disease sites while minimizing systemic exposure and off-target side effects</li>
</ul>

<p>&nbsp;</p>

<h3>Technology</h3>

<p>A fungal&ndash;nanoparticle drug delivery platform uses an avirulent strain of Cryptococcus neoformans to enable noninvasive transport of therapeutics across the blood&ndash;brain and blood&ndash;spinal cord barriers. Drug-loaded, FDA-approved nanoparticles are surface-conjugated to the fungal carrier, preserving payload stability while leveraging the organism&rsquo;s naturally evolved immune-evasive and CNS-trafficking properties. Following systemic administration, the platform exploits immune-cell&ndash;mediated transport to cross CNS barriers and localize within brain and spinal cord tissues. Once in the CNS, the nanoparticles provide controlled and sustained drug release, increasing local therapeutic concentrations while minimizing systemic exposure and off-target effects. The modular design allows tuning of nanoparticle composition, drug payload, and release kinetics, enabling adaptation to multiple therapeutic agents and neurological indications while avoiding invasive CNS delivery methods.</p>]]></description><pubDate>Tue, 05 May 2026 20:40:36 GMT</pubDate><author>saradagen@ufl.edu</author><guid>https://www.canberra-ip.com/tech?title=A_Fungal%e2%80%93Nanoparticle_Delivery_Platform_for_Targeted_Therapeutic_Transport_Across_the_Blood%e2%80%93Brain_Barrier</guid><dataField:caseId>MP26035</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:46:53 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Jamal</dataField:firstName><dataField:lastName>Lewis</dataField:lastName><dataField:title>Faculty</dataField:title><dataField:department>EG-BIOMEDICAL ENGINEERING</dataField:department><dataField:emailAddress>jamalslewis@ufl.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Clinton</dataField:firstName><dataField:lastName>Smith, IV</dataField:lastName><dataField:title>NSF Graduate Research Fellow</dataField:title><dataField:department>Biomedical Engineering</dataField:department><dataField:emailAddress>smith.clinton@ufl.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Noah</dataField:firstName><dataField:lastName>Pacifici</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>noah.pacifici@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Rachel</dataField:firstName><dataField:lastName>Harding</dataField:lastName><dataField:title>Assistant Director</dataField:title><dataField:department>OR-TECHNOLOGY LICENSING</dataField:department><dataField:emailAddress>rharding@ufl.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Human Health Care > Drug Delivery]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: NanoIntegris, Inc. (Acquired by Raymor Industries)</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NanoIntegris%2c_Inc._(Acquired_by_Raymor_Industries)</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/nanointegris-300x150.jpg" /></div>

<p ><strong>Founded: </strong>2006</p>

<p ><strong>Northwestern Inventor: </strong><br />
<a href="https://inventions.invo.northwestern.edu/?q=Mark%20Hersam" target="_blank" title="view all other available technologies from this inventor">Mark Hersam</a><br />
McCormick School of Engineering and Applied Science<br />
Department of Material Science and Engineering<br />
<a href="https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/hersam-mark.html" target="_blank">Faculty Profile</a></p>

<p >NanoIntegris is a leading supplier of premium single- and double-walled carbon nanotubes (SWNT, DWNT). The technology separates nano-tubes by diameter and/or electronic type (i.e., metal vs. semiconductor). These ultrapure materials enable commercial electronic, semiconductor, and display applications.</p>

<p class="button" ><a href="http://www.nanointegris.com" target="_blank">NanoIntegris (Acquired by Raymor Industries) Website</a></p>
</div>]]></description><pubDate>Tue, 05 May 2026 20:40:24 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NanoIntegris%2c_Inc._(Acquired_by_Raymor_Industries)</guid><dataField:caseId>MKT-PROJ-26-0122</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:44:27 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords><![CDATA[Carbon nanotube, Graphene, Nanomaterials, Nanotechnology, Semiconductors & Integrated Circuits, Startup with Northwestern IP, ]]></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Physical Sciences > Materials and Industrial Processes]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Strategy For Precise, Robust, And Advanced Analysis Of Carbon In Urban Ecosystems</title><link>https://www.canberra-ip.com/tech?title=Strategy_For_Precise%2c_Robust%2c_And_Advanced_Analysis_Of_Carbon_In_Urban_Ecosystems</link><description><![CDATA[<p>An analytical method and software workflow for quantitatively separating and measuring different carbon forms in urban soils. <br />
Problem: <br />
Organic carbon (OC) is derived from biomass. Black carbon (BC) is a product of the thermal decomposition of OC. Inorganic carbon (IC) exists in nonbiological matter, such as carbon dioxide and carbonates. Urban soils typically contain complex mixtures of all three, but BC and IC are difficult to differentiate from OC. Although accurate characterization of the global carbon cycle is essential for sustainable urban development, there is currently no standardized method to quantify these carbon forms. Conventional methods have been time-consuming, expensive, dangerous, and/or unreliable, in part due to the complexity and temperature-dependence of urban soil composition. <br />
Solution: <br />
Evolved gas analysis (EGA), in which researchers measure the carbon dioxide released during ramped combustion, presents a pathway for directly quantifying carbon. When applied to model mixtures of urban soils, this method outperformed the widely used thermogravimetric analysis (TGA). <br />
Technology:<br />
EGA quantifies carbon by measuring the evolved carbon dioxide, isolating individual thermal peaks, and assigning each peak to the appropriate carbon form using sample-specific local minimums. Unlike TGA, in which the soil sample is measured as a function of temperature, EGA can accommodate samples with disproportionate carbon losses, dehydration and overlapping thermal thresholds. <br />
Advantages: <br />
</p>

<ul>
	<li>Identifies OC, BC, and IC from overlapping thermal signals</li>
	<li>Requires no acid pretreatment</li>
	<li>Outperforms TGA-based methods </li>
</ul>

<p>Stage of Development: <br />
</p>

<ul>
	<li>Concept</li>
	<li>Proof of Concept </li>
</ul>

<p><br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11375_image_01.png"  /><br />
<br />
The evolved gas analysis thermograms obtained during ramped combustion. Panel (a) shows the carbon dioxide released at the given temperatures for the reference materials glucose, cellulose, lignin, Diesel soot, and calcium carbonate. Panel (b) shows that of the example carbon dioxide thermogram for a model mixture. The model mixtures contained known amounts of organic carbon, black carbon, and inorganic carbon within a mix of montmorillonite, a natural clay mineral. Panel (c) presents the peak deconvolution result for the model mixture, wherein the overlapping signals are separated by carbon source. <br />
Intellectual Property: <br />
</p>

<ul>
	<li>Non-US Application Pending </li>
</ul>

<p>Reference Media: <br />
</p>

<ul>
	<li>Hyun, J. et. al.,&nbsp;<a href="https://bsssjournals.onlinelibrary.wiley.com/doi/10.1111/ejss.70107" target="_blank">Eur. J. Soil&nbsp;Sci., 2025 April 15; Vol. 76, Issue 2: e70107</a>&nbsp;</li>
</ul>

<p>Desired Partnerships: <br />
</p>

<ul>
	<li>License</li>
	<li>Co-Development </li>
</ul>

<p>Docket #26-11375<br />
&nbsp;</p>]]></description><pubDate>Tue, 05 May 2026 20:23:32 GMT</pubDate><author>lbricha@upenn.edu</author><guid>https://www.canberra-ip.com/tech?title=Strategy_For_Precise%2c_Robust%2c_And_Advanced_Analysis_Of_Carbon_In_Urban_Ecosystems</guid><dataField:caseId>26-11375_tpNCS</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:35:16 GMT</dataField:lastUpdateDate><dataField:brief>An analytical method and software workflow for quantitatively separating and measuring different carbon forms in urban soils.</dataField:brief><dataField:contentproblem>Problem:</dataField:contentproblem><dataField:problem>Organic carbon (OC) is derived from biomass. Black carbon (BC) is a product of the thermal decomposition of OC. Inorganic carbon (IC) exists in nonbiological matter, such as carbon dioxide and carbonates. Urban soils typically contain complex mixtures of all three, but BC and IC are difficult to differentiate from OC. Although accurate characterization of the global carbon cycle is essential for sustainable urban development, there is currently no standardized method to quantify these carbon forms. Conventional methods have been time-consuming, expensive, dangerous, and/or unreliable, in part due to the complexity and temperature-dependence of urban soil composition.</dataField:problem><dataField:contentsolution>Solution:</dataField:contentsolution><dataField:solution>Evolved gas analysis (EGA), in which researchers measure the carbon dioxide released during ramped combustion, presents a pathway for directly quantifying carbon. When applied to model mixtures of urban soils, this method outperformed the widely used thermogravimetric analysis (TGA).</dataField:solution><dataField:contenttechnology>Technology:</dataField:contenttechnology><dataField:technology>EGA quantifies carbon by measuring the evolved carbon dioxide, isolating individual thermal peaks, and assigning each peak to the appropriate carbon form using sample-specific local minimums. Unlike TGA, in which the soil sample is measured as a function of temperature, EGA can accommodate samples with disproportionate carbon losses, dehydration and overlapping thermal thresholds.</dataField:technology><dataField:contentadvantages>Advantages:</dataField:contentadvantages><dataField:advantages><![CDATA[</p>

<ul>
	<li>Identifies OC, BC, and IC from overlapping thermal signals</li>
	<li>Requires no acid pretreatment</li>
	<li>Outperforms TGA-based methods]]></dataField:advantages><dataField:contentstage>Stage of Development:</dataField:contentstage><dataField:stage><![CDATA[</p>

<ul>
	<li>Concept</li>
	<li>Proof of Concept]]></dataField:stage><dataField:image><![CDATA[<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11375_image_01.png" style="height:750px; width:440px" /><br />]]></dataField:image><dataField:caption>The evolved gas analysis thermograms obtained during ramped combustion. Panel (a) shows the carbon dioxide released at the given temperatures for the reference materials glucose, cellulose, lignin, Diesel soot, and calcium carbonate. Panel (b) shows that of the example carbon dioxide thermogram for a model mixture. The model mixtures contained known amounts of organic carbon, black carbon, and inorganic carbon within a mix of montmorillonite, a natural clay mineral. Panel (c) presents the peak deconvolution result for the model mixture, wherein the overlapping signals are separated by carbon source.</dataField:caption><dataField:contentip>Intellectual Property:</dataField:contentip><dataField:ip><![CDATA[</p>

<ul>
	<li>Non-US Application Pending]]></dataField:ip><dataField:contentreference>Reference Media:</dataField:contentreference><dataField:reference><![CDATA[</p>

<ul>
	<li>Hyun, J. et. al.,&nbsp;<a href="https://bsssjournals.onlinelibrary.wiley.com/doi/10.1111/ejss.70107" target="_blank">Eur. J. Soil&nbsp;Sci., 2025 April 15; Vol. 76, Issue 2: e70107</a>&nbsp;]]></dataField:reference><dataField:contentpartnerships>Desired Partnerships:</dataField:contentpartnerships><dataField:partnerships><![CDATA[</p>

<ul>
	<li>License</li>
	<li>Co-Development]]></dataField:partnerships><dataField:docket>Docket #26-11375</dataField:docket><dataField:inventorList><dataField:inventor><dataField:firstName>Alain</dataField:firstName><dataField:lastName>Plante</dataField:lastName><dataField:title>Professor</dataField:title><dataField:department><![CDATA[SAS-Earth & Environmental Science]]></dataField:department><dataField:emailAddress>aplante@sas.upenn.edu</dataField:emailAddress><dataField:phoneNumber>215-898-9269</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Junge</dataField:firstName><dataField:lastName>Hyun</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Gayoung</dataField:firstName><dataField:lastName>Yoo</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Gangotri</dataField:firstName><dataField:lastName>Dey</dataField:lastName><dataField:title>Licensing Officer, SEAS/SAS Licensing Group</dataField:title><dataField:department>Penn Center for Innovation</dataField:department><dataField:emailAddress>gdey6@upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Agriculture & Environment| Technology Classifications > Research Tools & Reagents| Technology Classifications > Testing & Measurement]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: NuMat Technologies, Inc</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NuMat_Technologies%2c_Inc</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/numat_logo2023.png"  /></div>

<p ><strong>Founded: </strong>2011</p>

<p ><strong>Northwestern Inventor: </strong><br />
<a href="https://inventions.invo.northwestern.edu/?q=Omar%20Farha" target="_blank" title="view more available technologies from this inventor">Omar Farha</a><br />
Weinberg School of Arts &amp; Sciences<br />
Department of Chemistry<br />
<a href="http://chemistry.northwestern.edu/people/faculty/profiles/omar-farha.html" target="_blank">View Faculty Profile</a></p>

<p ><a href="https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/snurr-randall.html" target="_blank">Randall Q. Snurr</a><br />
McCormick School of Engineering and Applied Science<br />
Department of Chemical and Biological Engineering</p>

<p ><a href="https://inventions.invo.northwestern.edu/?q=Joseph%20T.%20Hupp" target="_blank" title="view more available technologies from this inventor">Joseph T. Hupp</a><br />
Weinberg College of Arts and Sciences<br />
Department of Chemistry<br />
<a href="http://chemistry.northwestern.edu/people/faculty/profiles/joseph-hupp.html" target="_blank">View Faculty Profile</a></p>

<p >Numat Technologies is an advanced materials company that computationally designs and synthesizes nanoporous materials for gas storage and separation applications. It is a market leader in Metal-Organic Frameworks (&rdquo;MOFs&rdquo;), a transformative precision chemistry platform. MOFs can be designed, atom-by-atom, to capture and separate target hazardous chemicals in ways limited by traditional methods.</p>

<p >Through their integrated platform, they design, scale and deliver powerful solutions into their customers&rsquo; products and processes, reducing the negative impact of chemical products and processes on human health and the environment.&nbsp;</p>

<p class="button" ><a href="http://www.numat-tech.com" target="_blank">Numat Technologies Website</a></p>
</div>]]></description><pubDate>Tue, 05 May 2026 20:21:02 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NuMat_Technologies%2c_Inc</guid><dataField:caseId>MKT-PROJ-26-0128</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:31:33 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Catalyst, Energy and Infrastructure, Environment, Materials, MOFs, Polymer, Startup with Northwestern IP, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Physical Sciences > Energy & Sustainability| Physical Sciences > Materials and Industrial Processes]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: Volexion, Inc.</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Volexion%2c_Inc.</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/volexion--300x150.png" /></div>

<p ><strong>Founded: </strong>2018</p>

<p ><strong>Northwestern Inventor: </strong><br />
<a href="https://inventions.invo.northwestern.edu/?q=Mark%20Hersam" target="_blank" title="view all other available technologies from this inventor">Mark Hersam</a><br />
McCormick School of Engineering &amp; Applied Sciences<br />
Materials Science<br />
<a href="https://www.mccormick.northwestern.edu/research-faculty/directory/profiles/hersam-mark.html" target="_blank">Faculty Profile</a></p>

<p >Volexion is developing advanced cathode materials for lithium ion batteries that overcome key limitations to conventional technology, primarily enhanced battery performance at low temperatures and rapid charging and discharging. Their cathode material provides high energy efficiency, improves cycling stability and utilizes safer materials.</p>

<p >&nbsp;</p>

<p >&nbsp;</p>

<p class="button" ><a href="https://www.volexion-inc.com/" target="_blank">Volexion Website</a></p>
</div>]]></description><pubDate>Tue, 05 May 2026 20:07:35 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Volexion%2c_Inc.</guid><dataField:caseId>MKT-PROJ-26-0163</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:41:17 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Batteries, Energy and Infrastructure, Energy storage, Graphene, Lithium-ion, Materials, Startup with Northwestern IP, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Physical Sciences > Energy & Sustainability| Physical Sciences > Materials and Industrial Processes]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: NanoGraf</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NanoGraf</link><description><![CDATA[<div class="content" tabindex="-1">
                    <div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/nano-logo.png"></div><p><strong>Founded: </strong>2012</p><p><strong>Northwestern Inventor: </strong><br>Harold Kung<br>McCormick School of Engineering and Applied Science<br>Department of Chemical and Biological Engineering</p><p>Jiaxing Huang <br>McCormick School of Engineering and Applied Science<br>Department of Materials Science</p><p>Formerly SiNode Systems, NanoGraf pursues advances in Lithium-ion battery anodes to transform a wide range of industries from consumer electronics to electric vehicles. NanoGraf’s anode technology utilizes a composite of silicon nano-particles within a patent-pending graphene scaffolding system that increases a battery's energy density (5-7 times) and reduces the charging time of a lithium-ion battery up to a factor of 10.</p>
<p>&nbsp;</p><p class="button"><a href="https://nanograf.com">NanoGraf Website</a></p>
                </div>]]></description><pubDate>Tue, 05 May 2026 19:43:18 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_NanoGraf</guid><dataField:caseId>MKT-PROJ-26-0121</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 19:43:18 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Batteries, Energy and Infrastructure, Fuel Cell, Graphene, Nanoparticle, Startup with Northwestern IP, Sustainability, Sustainable Materials, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Physical Sciences > Energy & Sustainability| Physical Sciences > Materials and Industrial Processes]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: Lilac Solutions</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Lilac_Solutions</link><description><![CDATA[<div class="content" tabindex="-1"><div class="startup-image"><img alt="logo" src="https://www.invo.northwestern.edu/innovation-commercialization/industry-partnership/startups/images/lilac-150x170.jpg"></div><p><strong>Founded: </strong>2016</p><p><strong>Northwestern Inventor: </strong><br>Christopher Wolverton<br>McCormick School of Engineering and Applied Science<br>
Department of Materials Science and Engineering
</p><p>Lilac Solutions is developing new ion exchange materials to transform lithium extraction from brine resources.</p><p class="button"><a href="http://www.lilacsolutions.com/">Lilac Solutions Website</a></p></div>]]></description><pubDate>Tue, 05 May 2026 19:32:12 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Lilac_Solutions</guid><dataField:caseId>MKT-PROJ-26-0111</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 19:40:06 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Batteries, Energy and Infrastructure, Manufacturing/Processing, Materials, Startup with Northwestern IP, Sustainability, Sustainable Materials, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Physical Sciences > Energy & Sustainability]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: Syenex, Inc.</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Syenex%2c_Inc.</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="" src="https://nulive.technologypublisher.com/files/sites/syenex_logo.png"  /></div>

<p ><strong>Northwestern Inventor: </strong><br />
<a href="https://www.leonard.northwestern.edu/" target="_blank">Joshua Leonard</a><br />
McCormick School of Engineering<br />
Chemical and Biological Engineering</p>

<p ><img alt="" src="https://nulive.technologypublisher.com/files/sites/syenex_ceo.png"  />Syenex builds bioengineering technologies to unlock the future of human health. Leveraging the power of synthetic biology, we design scalable, precision-engineered components, empowering cell and gene therapy developers to cure disease and build the next generation of medicines. Designed to break the barriers that slow medical progress, our Open Science model ensures global access to our expanding toolkit and network of scale-up partners, accelerating the path of breakthroughs from idea to impact for all of academia and biopharma. Since 2022, Syenex has rapidly built a portfolio of cell-specific bioengineering system and established partnerships across the fields of immune cell, stem cell, and hepatocyte engineering.</p>
</div>]]></description><pubDate>Tue, 05 May 2026 19:05:54 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Syenex%2c_Inc.</guid><dataField:caseId>MKT-PROJ-26-0150</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 19:54:37 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Biologic, Biomedical, Drug delivery, Gene therapy, Platform technology, Research tool, Startup with Northwestern IP, Synthetic biology, Therapeutics, Vector/Plasmid, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Biomarkers & Biomedical Research Tools| Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Northwestern Startup: Yobee Care, Inc.</title><link>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Yobee_Care%2c_Inc.</link><description><![CDATA[<div class="content">
<div class="startup-image"><img alt="logo" src="https://nulive.technologypublisher.com/files/sites/yobee_logo.png"  /></div>

<p ><strong>Founded: </strong>2018</p>

<p ><strong>Northwestern Inventor: </strong><br />
<a href="https://www.feinberg.northwestern.edu/faculty-profiles/az/profile.html?xid=17229" target="_blank">Dr. Ruchi Gupta</a><br />
Feinberg School of Medicine<br />
Department of Pediatrics and Medicine</p>

<p >Yobee&#39;s mission is to revolutionize scalp, hair, and skin care by helping consumers rebalance their microbiome and eliminating the need for chemical-laden products. Utilizing PROBYOME , our patented blend of probiotic extracts, organic honey, organic turmeric, and Vitamin B12, Yobee aims to improve health and support a balanced microbiome for a lifetime of healthy hair and skin. Yobee products are made in the USA with clean, carefully sourced ingredients, providing families with safe, scientifically backed solutions for various scalp and skin issues.</p>

<p class="button" ><a href="https://yobeecare.com/" target="_blank">Yobee Care Website</a></p>
</div>]]></description><pubDate>Tue, 05 May 2026 18:58:30 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Northwestern_Startup%3a_Yobee_Care%2c_Inc.</guid><dataField:caseId>MKT-PROJ-26-0165</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 20:00:03 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Dermatology, Hair care, Scalp care, Skin care, Startup with Northwestern IP, Therapeutics, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Startup</dataField:firstName><dataField:lastName>Available for Partnership</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress>invo@northwestern.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>An All-In-One “Swiss Army Knife” Tool To Edit Genes And Regulate Their Expression Without Off-Target Effects And Toxicity</title><link>https://www.canberra-ip.com/tech?title=An_All-In-One_%e2%80%9cSwiss_Army_Knife%e2%80%9d_Tool_To_Edit_Genes_And_Regulate_Their_Expression_Without_Off-Target_Effects_And_Toxicity</link><description><![CDATA[<p>A flexible toolkit for human gene editing, activation, and repression that can be applied in orthogonally and in various disease models. <br />
Problem: <br />
There is increasing demand for technologies that can simultaneously edit the genome and regulate the transcriptome without relying on toxic double-stranded breaks. Currently, treating complex diseases such as cancer require correcting genomic point mutations while simultaneously activating or repressing secondary genes that are deregulated. These independent tasks require the co-delivery of multiple large effectors, drastically exceeding the strict packaging limits of modern clinical vectors like AAVs. Therefore, there is a dire need for a single, compact tool that provides orthogonal control over gene editing and expression. Such a unified platform would bypass viral packaging bottlenecks, eliminate CRISPR/Cas9-induced cytotoxicity, and unlock next-generation precision therapies. <br />
Solution: <br />
This invention is a minimal versatile genetic perturbation technology (mvGPT), which combines a prime editor (PE), fusion activator (MPH), and a multiplex array that produces RNA tailored for a variety of genetic perturbations, including genomic editing, gene activation, and gene repression. Importantly, unlike other currently available tools, mvGPT can be used orthogonally &ndash; such that gene activation, repression, and editing can be deployed independently and without interference among functions. <br />
Technology: <br />
The invention consists of three main components: an engineered compact prime editor (Prime Editor with Advanced Kernel, or PEAK), a transcriptional activator (MS2&ndash;p65&ndash;HSF1, or MPH), and an RNA system that produces short RNAs to direct editing, activation, or silencing of specific genes (drive-and-process array, or DAP). DAP, in combination with prime editing guide RNA (pegRNA) and nicking guide RNA (ngRNA), efficiently guides PEAK to target loci to modify DNA. MPH and PEAK are guided by short guide RNA to activate gene transcription. Finally, DAP encodes short hairpin RNA and facilitates gene repression through RNA interference. <br />
Advantages: <br />
</p>

<ul>
	<li>Orthogonal and independent deployment of gene editing, activation, and repression without interference</li>
	<li>Versatile delivery approaches of the mvGPT components (AAV, LV, mRNA, plasmids)</li>
	<li>Compatible with human cells and human disease models</li>
	<li>Does not result in DSB of DNA or cytotoxicity associated with existing gene editing methods</li>
	<li>Proof-of-concept model results in simultaneous 5% correction for the disease-causing gene ATP7B, a 1700-fold activation of the PDX1 gene, and a 93% repression of the TTR gene in a human cell line</li>
	<li>Can be utilized for any application requiring gene editing, activation, and/or repression </li>
</ul>

<p>Stage of Development: <br />
</p>

<ul>
	<li>Proof of Concept </li>
</ul>

<p><br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11294_image_011.jpg"  /><br />
<br />
Simultaneous editing, activation, and silencing of disease-relevant genes using mvGPT in human liver cells. (A)&nbsp;Structure of the DAP RNA array encoding for nicking guide RNA (ngRNA) and engineered prime editing guide RNA (epegRNA) for gene editing, a truncated activation single guide RNA (agRNA) for gene activation, and a short hairpin RNA (shRNA) for gene silencing. (B) Schematic of a genetic disease model requiring orthogonal editing, activation, and silencing of a set of genes. This example exhibits a model involving Wilson&rsquo;s disease, Type I diabetes, and Transthyretin amyloidosis. Rows indicate the disease, gene of interest, and the perturbation involved. (C) Illustration of HepG2 cells line (human liver cancer cells) transfected by plasmids encoding the three main elements of the mvGPT: prime editing system with advanced kernel (PEAK), fusion activator MS2&ndash;p65&ndash;HSF1 (MPH), and the drive-and-process (DAP) multiplexed RNA expression array. (D) mvGPT successfully corrected the ATP7B mutation in 5% of treated cells, increased PDX1 gene expression up to 1,700-fold, and reduced TTR gene expression by 93% -- all&nbsp; &nbsp;at once. FWD and REV indicate two versions of the DAP array with RNA components encoded in opposite order, both yielding comparable results. <br />
Intellectual Property: <br />
</p>

<ul>
	<li>PCT Pending </li>
</ul>

<p>Reference Media: <br />
</p>

<ul>
	<li>Yuan, Q.&nbsp;et. al.,&nbsp;<a href="https://www.nature.com/articles/s41467-024-55134-9#citeas" target="_blank">Nat Commun., 2024 Dec 30; 15 (1):10868</a></li>
	<li><a href="https://xuegaolab.org/" target="_blank">Dr. Xue Sherry Gao Research Page</a>&nbsp; </li>
</ul>

<p>Desired Partnerships: <br />
</p>

<ul>
	<li>License</li>
	<li>Co-Development </li>
</ul>

<p>Docket #26-11294 </p>

<p>&nbsp;</p>

<p>&nbsp;</p>

<p>&nbsp;</p>]]></description><pubDate>Tue, 05 May 2026 18:06:20 GMT</pubDate><author>lbricha@upenn.edu</author><guid>https://www.canberra-ip.com/tech?title=An_All-In-One_%e2%80%9cSwiss_Army_Knife%e2%80%9d_Tool_To_Edit_Genes_And_Regulate_Their_Expression_Without_Off-Target_Effects_And_Toxicity</guid><dataField:caseId>26-11294-tpNCS</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 18:06:20 GMT</dataField:lastUpdateDate><dataField:brief>A flexible toolkit for human gene editing, activation, and repression that can be applied in orthogonally and in various disease models.</dataField:brief><dataField:contentproblem>Problem:</dataField:contentproblem><dataField:problem>There is increasing demand for technologies that can simultaneously edit the genome and regulate the transcriptome without relying on toxic double-stranded breaks. Currently, treating complex diseases such as cancer require correcting genomic point mutations while simultaneously activating or repressing secondary genes that are deregulated. These independent tasks require the co-delivery of multiple large effectors, drastically exceeding the strict packaging limits of modern clinical vectors like AAVs. Therefore, there is a dire need for a single, compact tool that provides orthogonal control over gene editing and expression. Such a unified platform would bypass viral packaging bottlenecks, eliminate CRISPR/Cas9-induced cytotoxicity, and unlock next-generation precision therapies.</dataField:problem><dataField:contentsolution>Solution:</dataField:contentsolution><dataField:solution><![CDATA[This invention is a minimal versatile genetic perturbation technology (mvGPT), which combines a prime editor (PE), fusion activator (MPH), and a multiplex array that produces RNA tailored for a variety of genetic perturbations, including genomic editing, gene activation, and gene repression. Importantly, unlike other currently available tools, mvGPT can be used orthogonally &ndash; such that gene activation, repression, and editing can be deployed independently and without interference among functions.]]></dataField:solution><dataField:contenttechnology>Technology:</dataField:contenttechnology><dataField:technology><![CDATA[The invention consists of three main components: an engineered compact prime editor (Prime Editor with Advanced Kernel, or PEAK), a transcriptional activator (MS2&ndash;p65&ndash;HSF1, or MPH), and an RNA system that produces short RNAs to direct editing, activation, or silencing of specific genes (drive-and-process array, or DAP). DAP, in combination with prime editing guide RNA (pegRNA) and nicking guide RNA (ngRNA), efficiently guides PEAK to target loci to modify DNA. MPH and PEAK are guided by short guide RNA to activate gene transcription. Finally, DAP encodes short hairpin RNA and facilitates gene repression through RNA interference.]]></dataField:technology><dataField:contentadvantages>Advantages:</dataField:contentadvantages><dataField:advantages><![CDATA[</p>

<ul>
	<li>Orthogonal and independent deployment of gene editing, activation, and repression without interference</li>
	<li>Versatile delivery approaches of the mvGPT components (AAV, LV, mRNA, plasmids)</li>
	<li>Compatible with human cells and human disease models</li>
	<li>Does not result in DSB of DNA or cytotoxicity associated with existing gene editing methods</li>
	<li>Proof-of-concept model results in simultaneous 5% correction for the disease-causing gene ATP7B, a 1700-fold activation of the PDX1 gene, and a 93% repression of the TTR gene in a human cell line</li>
	<li>Can be utilized for any application requiring gene editing, activation, and/or repression]]></dataField:advantages><dataField:contentstage>Stage of Development:</dataField:contentstage><dataField:stage><![CDATA[</p>

<ul>
	<li>Proof of Concept]]></dataField:stage><dataField:image><![CDATA[<br />
<img alt="" src="https://upenn.technologypublisher.com/files/sites/26-11294_image_011.jpg" style="height:423px; width:750px" /><br />]]></dataField:image><dataField:caption><![CDATA[Simultaneous editing, activation, and silencing of disease-relevant genes using mvGPT in human liver cells. (A)&nbsp;Structure of the DAP RNA array encoding for nicking guide RNA (ngRNA) and engineered prime editing guide RNA (epegRNA) for gene editing, a truncated activation single guide RNA (agRNA) for gene activation, and a short hairpin RNA (shRNA) for gene silencing. (B) Schematic of a genetic disease model requiring orthogonal editing, activation, and silencing of a set of genes. This example exhibits a model involving Wilson&rsquo;s disease, Type I diabetes, and Transthyretin amyloidosis. Rows indicate the disease, gene of interest, and the perturbation involved. (C) Illustration of HepG2 cells line (human liver cancer cells) transfected by plasmids encoding the three main elements of the mvGPT: prime editing system with advanced kernel (PEAK), fusion activator MS2&ndash;p65&ndash;HSF1 (MPH), and the drive-and-process (DAP) multiplexed RNA expression array. (D) mvGPT successfully corrected the ATP7B mutation in 5% of treated cells, increased PDX1 gene expression up to 1,700-fold, and reduced TTR gene expression by 93% -- all&nbsp; &nbsp;at once. FWD and REV indicate two versions of the DAP array with RNA components encoded in opposite order, both yielding comparable results.]]></dataField:caption><dataField:contentip>Intellectual Property:</dataField:contentip><dataField:ip><![CDATA[</p>

<ul>
	<li>PCT Pending]]></dataField:ip><dataField:contentreference>Reference Media:</dataField:contentreference><dataField:reference><![CDATA[</p>

<ul>
	<li>Yuan, Q.&nbsp;et. al.,&nbsp;<a href="https://www.nature.com/articles/s41467-024-55134-9#citeas" target="_blank">Nat Commun., 2024 Dec 30; 15 (1):10868</a></li>
	<li><a href="https://xuegaolab.org/" target="_blank">Dr. Xue Sherry Gao Research Page</a>&nbsp;]]></dataField:reference><dataField:contentpartnerships>Desired Partnerships:</dataField:contentpartnerships><dataField:partnerships><![CDATA[</p>

<ul>
	<li>License</li>
	<li>Co-Development]]></dataField:partnerships><dataField:docket>Docket #26-11294</dataField:docket><dataField:inventorList><dataField:inventor><dataField:firstName>Xue Sherry</dataField:firstName><dataField:lastName>Gao</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>SEAS-Chemical and Biomolecular Engineering</dataField:department><dataField:emailAddress>xuegao@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Tyler</dataField:firstName><dataField:lastName>Daniel</dataField:lastName><dataField:title>CBE Research Fellow</dataField:title><dataField:department>SEAS-Chemical and Biomolecular Engineering</dataField:department><dataField:emailAddress>tydaniel@seas.upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Hongzhi</dataField:firstName><dataField:lastName>Zeng</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Qichen</dataField:firstName><dataField:lastName>Yuan</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Bioengineering, Cell Therapy, Gene Editing, Genetic Disorders, Neurodegenerative Diseases, Obesity Metabolic Disease and Diabetes, Oncology, Orphan Disease, Pulmonary, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Gangotri</dataField:firstName><dataField:lastName>Dey</dataField:lastName><dataField:title>Licensing Officer, SEAS/SAS Licensing Group</dataField:title><dataField:department>Penn Center for Innovation</dataField:department><dataField:emailAddress>gdey6@upenn.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Research Tools & Reagents| Technology Classifications > Therapeutics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Fast, Background-free Detection of Nucleic Acid Sequences Using DNA Nanoswitches</title><link>https://www.canberra-ip.com/tech?title=Fast%2c_Background-free_Detection_of_Nucleic_Acid_Sequences_Using_DNA_Nanoswitches</link><description><![CDATA[<p>This technology introduces DNA-based &quot;nanoswitches&quot;&mdash;innovative nanostructures that enable precise and efficient detection of target analytes through conformational changes.&nbsp;</p>

<p>Background: <br />
Accurate detection of specific molecules, such as DNA sequences or other analytes, is fundamental in medical diagnostics, environmental monitoring, and biochemical research. Traditional detection methods often face challenges such as limited sensitivity, high cost, or slow processing times. To address these issues, researchers developed DNA nanostructures capable of responding to target molecules with measurable changes, aiming to create a detection system that is both highly specific and efficient.</p>

<p>Technology Overview: &nbsp;<br />
The core innovation involves &quot;nanoswitches,&quot; which are specially engineered DNA nanostructures formed from single-stranded oligonucleotides. These nanoswitches switch between looped (on) and unlooped (off) states depending on the presence of specific target molecules. When a target analyte binds to the nanoswitch, it induces a conformational shift that can be detected through established laboratory techniques such as gel electrophoresis, nanopore analysis, or fluorescence analysis. What sets this technology apart is its ability to precisely detect a wide variety of analytes with exceptional sensitivity and specificity. The conformational change acts as a clear molecular signal indicating the presence or absence of the target. Moreover, the design allows for multiplexed detection&mdash;meaning multiple targets can be identified simultaneously within a single sample. The system is also cost-effective and adaptable, lending itself to rapid detection scenarios where timely results are critical. Experimental validation within the patent demonstrates the nanoswitches&#39; capability to identify specific DNA sequences and mismatch variants, underscoring their potential utility across multiple domains.&nbsp;</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_237602801.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;High specificity and sensitivity for detecting target molecules, minimizing false positives and negatives.<br />
&bull;&nbsp;&nbsp; &nbsp;Rapid detection, enabling timely diagnostic and monitoring decisions.<br />
&bull;&nbsp;&nbsp; &nbsp;Cost-effective composition, leveraging simple DNA oligonucleotides without requiring complex hardware.<br />
&bull;&nbsp;&nbsp; &nbsp;Capability for multiplexed detection, allowing simultaneous analysis of multiple analytes.<br />
&bull;&nbsp;&nbsp; &nbsp;Versatility in detection methods, compatible with common laboratory techniques such as fluorescence and gel electrophoresis.<br />
&bull;&nbsp;&nbsp; &nbsp;Robust experimental validation confirms reliability and practical applicability.&nbsp;</p>

<p>Applications: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Medical diagnostics, including genetic testing and disease marker identification.<br />
&bull;&nbsp;&nbsp; &nbsp;Environmental monitoring for detecting pollutants, pathogens, or other chemical analytes.<br />
&bull;&nbsp;&nbsp; &nbsp;Biochemical research tools for analyzing DNA sequences, mutations, and molecular interactions.<br />
&bull;&nbsp;&nbsp; &nbsp;Point-of-care testing where rapid and accurate detection is essential.<br />
&bull;&nbsp;&nbsp; &nbsp;Multiplexed assay development, useful in situations requiring simultaneous detection of multiple targets.&nbsp;</p>

<p>Intellectual Property Summary: <br />
Issued patent 12,077,807</p>

<p>Stage of Development: <br />
TRL 5</p>

<p>Licensing Status: <br />
This technology is available for licensing.<br />
&nbsp;</p>]]></description><pubDate>Tue, 05 May 2026 17:57:23 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech?title=Fast%2c_Background-free_Detection_of_Nucleic_Acid_Sequences_Using_DNA_Nanoswitches</guid><dataField:caseId>15-14-010</dataField:caseId><dataField:lastUpdateDate>Wed, 06 May 2026 12:53:38 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary><![CDATA[This technology introduces DNA-based &quot;nanoswitches&quot;&mdash;innovative nanostructures that enable precise and efficient detection of target analytes through conformational changes.]]></dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background>Accurate detection of specific molecules, such as DNA sequences or other analytes, is fundamental in medical diagnostics, environmental monitoring, and biochemical research. Traditional detection methods often face challenges such as limited sensitivity, high cost, or slow processing times. To address these issues, researchers developed DNA nanostructures capable of responding to target molecules with measurable changes, aiming to create a detection system that is both highly specific and efficient.</dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology><![CDATA[The core innovation involves &quot;nanoswitches,&quot; which are specially engineered DNA nanostructures formed from single-stranded oligonucleotides. These nanoswitches switch between looped (on) and unlooped (off) states depending on the presence of specific target molecules. When a target analyte binds to the nanoswitch, it induces a conformational shift that can be detected through established laboratory techniques such as gel electrophoresis, nanopore analysis, or fluorescence analysis. What sets this technology apart is its ability to precisely detect a wide variety of analytes with exceptional sensitivity and specificity. The conformational change acts as a clear molecular signal indicating the presence or absence of the target. Moreover, the design allows for multiplexed detection&mdash;meaning multiple targets can be identified simultaneously within a single sample. The system is also cost-effective and adaptable, lending itself to rapid detection scenarios where timely results are critical. Experimental validation within the patent demonstrates the nanoswitches&#39; capability to identify specific DNA sequences and mismatch variants, underscoring their potential utility across multiple domains.]]></dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_237602801.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;High specificity and sensitivity for detecting target molecules, minimizing false positives and negatives.<br />
&bull;&nbsp;&nbsp; &nbsp;Rapid detection, enabling timely diagnostic and monitoring decisions.<br />
&bull;&nbsp;&nbsp; &nbsp;Cost-effective composition, leveraging simple DNA oligonucleotides without requiring complex hardware.<br />
&bull;&nbsp;&nbsp; &nbsp;Capability for multiplexed detection, allowing simultaneous analysis of multiple analytes.<br />
&bull;&nbsp;&nbsp; &nbsp;Versatility in detection methods, compatible with common laboratory techniques such as fluorescence and gel electrophoresis.<br />
&bull;&nbsp;&nbsp; &nbsp;Robust experimental validation confirms reliability and practical applicability.]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Medical diagnostics, including genetic testing and disease marker identification.<br />
&bull;&nbsp;&nbsp; &nbsp;Environmental monitoring for detecting pollutants, pathogens, or other chemical analytes.<br />
&bull;&nbsp;&nbsp; &nbsp;Biochemical research tools for analyzing DNA sequences, mutations, and molecular interactions.<br />
&bull;&nbsp;&nbsp; &nbsp;Point-of-care testing where rapid and accurate detection is essential.<br />
&bull;&nbsp;&nbsp; &nbsp;Multiplexed assay development, useful in situations requiring simultaneous detection of multiple targets.]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Issued patent 12,077,807</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>TRL 5</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Kenneth</dataField:firstName><dataField:lastName>Halvorsen</dataField:lastName><dataField:title>Senior Research Scientist, Advanced Instrumentation Facility</dataField:title><dataField:department>The RNA Institute</dataField:department><dataField:emailAddress>khalvorsen@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 591-8816</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Wesley</dataField:firstName><dataField:lastName>Wong</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department><![CDATA[Biological Chemistry & Molecular Pharmacology and Pediatrics]]></dataField:department><dataField:emailAddress>wong@idi.harvard.edu</dataField:emailAddress><dataField:phoneNumber>(617) 713-8383</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Arun Richard</dataField:firstName><dataField:lastName>Chandrasekaran</dataField:lastName><dataField:title>Research Scientist, Halvorsen Lab</dataField:title><dataField:department>The RNA Institute</dataField:department><dataField:emailAddress>arun@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 591-8849</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Campus > University at Albany| Technology Classifications > Biomedical Science and Engineering]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Agility Trainer 2.0: Dynamic Treadmill Force Field System for Balance Rehabilitation</title><link>https://www.canberra-ip.com/tech?title=Agility_Trainer_2.0%3a_Dynamic_Treadmill_Force_Field_System_for_Balance_Rehabilitation</link><description><![CDATA[
<p class="subheader">&nbsp;</p>]]></description><pubDate>Tue, 05 May 2026 17:42:28 GMT</pubDate><author>dragos@northwestern.edu</author><guid>https://www.canberra-ip.com/tech?title=Agility_Trainer_2.0%3a_Dynamic_Treadmill_Force_Field_System_for_Balance_Rehabilitation</guid><dataField:caseId>2017-103</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 18:23:55 GMT</dataField:lastUpdateDate><dataField:inventorList></dataField:inventorList><dataField:keywords>Devices, Health IT, Medical device, Prosthesis/Rehabilitation, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Michael</dataField:firstName><dataField:lastName>Moeller</dataField:lastName><dataField:title>Invention Manager</dataField:title><dataField:department>Innovation and New Ventures</dataField:department><dataField:emailAddress>michael.moeller@northwestern.edu</dataField:emailAddress><dataField:phoneNumber>847-491-4201</dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Life Sciences > Healthcare Devices, Tools & IT]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Minimally Invasive Wireless Neurotechnology Platform</title><link>https://www.canberra-ip.com/tech/Minimally_Invasive_Wireless_Neurotechnology_Platform</link><description><![CDATA[<div ><strong>Invention Description</strong></div>

<div >Treating and monitoring deep brain regions is challenging due to the limitations of current neurotechnology, which often relies on invasive implants or inefficient transcranial methods. These approaches can involve surgical risks, bulky hardware, and limited precision in targeting specific neural pathways. Additionally, delivering energy or therapeutic effects deep within the brain remains difficult without compromising safety or effectiveness.</div>

<div >&nbsp;</div>

<div >Researchers at Arizona State University have developed an advanced neurotechnology that utilizes a novel and unexplored anatomical pathway to deliver electromagnetic energy directly to deep brain regions. This system enables wireless, battery-free neurostimulation and sensing with improved power efficiency and communication reliability. It allows precise modulation of neural pathways involved in conditions such as opioid addiction and chronic pain, and supports targeted hyperthermia treatment for deep brain tumors like pituitary adenomas. By avoiding invasive implants and overcoming the limitations of traditional transcranial approaches, the platform improves safety, reduces device size, and enhances scalability for clinical use.</div>

<div >&nbsp;</div>

<div >This novel, minimally invasive platform enables efficient wireless delivery of RF electromagnetic energy to deep brain structures for neuromodulation, sensing, and therapy.</div>

<div >&nbsp;</div>

<div ><strong>Potential Applications</strong></div>

<ul>
	<li >Wireless closed-loop neurostimulation systems for epilepsy and neurological disorders</li>
	<li >Noninvasive neuromodulation therapies targeting addiction and chronic pain pathways</li>
	<li >Precise hyperthermia treatment for deep brain tumors including pituitary adenomas</li>
	<li >Implantable, battery-free neuromodulation and neural sensing devices</li>
	<li >Research tools for investigating neural activity modulation and brain disorder treatment</li>
	<li >Medical devices addressing opioid addiction and postoperative pain based on electrophysiological modulation</li>
</ul>

<div ><strong>Benefits and Advantages</strong></div>

<ul>
	<li >Minimally invasive access via wireless devices</li>
	<li >Wireless and battery-free operation for long-term implantable neurostimulation and sensing</li>
	<li >Enhanced electromagnetic power delivery efficiency and communication through a favorable anatomical path reducing signal attenuation</li>
	<li >Wide frequency range utilization enabling versatile RF pulse designs</li>
	<li >Reduced hardware footprint</li>
	<li >Improved safety profile with diminished tissue heating and off-target effects</li>
	<li >Capability for precise localized stimulation and thermal control</li>
	<li >Supports multifunctional applications including electrical stimulation, sensing, and hyperthermia therapy</li>
	<li >Compatible with magnetic nanomaterial-enhanced tumor treatments</li>
</ul>]]></description><pubDate>Mon, 04 May 2026 20:43:17 GMT</pubDate><author>ip@skysonginnovations.com</author><guid>https://www.canberra-ip.com/tech/Minimally_Invasive_Wireless_Neurotechnology_Platform</guid><dataField:caseId>M25-323L</dataField:caseId><dataField:lastUpdateDate>Mon, 04 May 2026 20:43:17 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Sung-Min</dataField:firstName><dataField:lastName>Sohn</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>SBHSE</dataField:department><dataField:emailAddress>smsohn@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords></dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Jovan</dataField:firstName><dataField:lastName>Heusser</dataField:lastName><dataField:title>Director of Licensing and Business Development</dataField:title><dataField:department></dataField:department><dataField:emailAddress>jovan.heusser@skysonginnovations.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Life Science (All LS Techs)| Medical Devices| Neurodegenerative Disease Technologies</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>ATR_FTIR spectroscopy of saliva and machine learning as a screening test for the Sjögren disease</title><link>https://www.canberra-ip.com/tech?title=ATR%24FTIR_spectroscopy_of_saliva_and_machine_learning_as_a_screening_test_for_the_Sj%c3%b6gren_disease</link><description><![CDATA[<p>This technology uses saliva analysis with infrared spectroscopy and machine learning to provide a fast, non-invasive, and accurate test for Sj&ouml;gren&rsquo;s Disease, filtering out unreliable data to improve diagnosis and potentially screen for other diseases.&nbsp;</p>

<p>Background: <br />
Sj&ouml;gren&rsquo;s disease is a chronic autoimmune disorder that primarily targets the body&rsquo;s moisture-producing glands, leading to symptoms such as dry mouth and dry eyes. Diagnosing this condition is particularly challenging due to the overlap of its symptoms with other diseases and the absence of a single, definitive biomarker. The field of non-invasive diagnostics has therefore become increasingly important, as clinicians and researchers seek reliable, accessible, and patient-friendly methods for early detection and monitoring of autoimmune diseases. Saliva, as a readily available and non-invasively collectible biofluid, offers a promising window into the body&rsquo;s biochemical state, making it an attractive medium for disease screening and diagnosis. Current diagnostic approaches for Sj&ouml;gren&rsquo;s disease, such as minor salivary gland biopsies, Schirmer&rsquo;s tests, and serological assays, are often invasive, time-consuming, and lack sufficient specificity and sensitivity. These methods can be uncomfortable for patients, require specialized clinical settings, and may not always yield conclusive results, especially in early or atypical cases. Additionally, traditional spectroscopic and chemometric techniques used to analyze saliva or other biofluids struggle to distinguish diagnostically relevant signals from noise or unrelated biochemical variations, particularly given the heterogeneity of biological samples. This limitation hampers the effectiveness of machine learning models, as irrelevant or low-quality data can lead to poor generalization, reduced interpretability, and increased risk of misclassification&mdash;highlighting the pressing need for more robust, accurate, and user-friendly diagnostic solutions.</p>

<p>Technology Overview: &nbsp;<br />
This technology offers a non-invasive diagnostic solution for Sj&ouml;gren&rsquo;s Disease by integrating attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy of saliva with a sophisticated machine learning framework. Saliva samples are analyzed using ATR-FTIR to generate comprehensive spectral fingerprints that reflect the biochemical composition associated with disease states. These high-dimensional spectra are then processed by an artificial neural network, which is enhanced by Monte Carlo Dropout (MCD) uncertainty estimation. The MCD mechanism serves as a critical preprocessing step, filtering out spectra with low classification confidence to ensure that only diagnostically relevant and high-quality data are used for model training. This approach not only increases the accuracy of disease detection but also supports rapid, repeatable, and painless sample collection, making it suitable for point-of-care diagnostics, home testing, and longitudinal monitoring. What differentiates this technology is its innovative use of MCD-based uncertainty estimation to address a fundamental challenge in biospectroscopic diagnostics: the inherent variability and noise within biofluid samples, where only a subset of spectra may be diagnostically informative. By systematically identifying and excluding ambiguous or uninformative spectra before model training, the solution enhances the interpretability, generalization, and robustness of the neural network classifier. This results in improved diagnostic performance, reduced risk of overfitting, and greater resilience to sample heterogeneity&mdash;critical for diseases like Sj&ouml;gren&rsquo;s, where biomarkers are sparse and unevenly distributed. The methodology is broadly applicable to other diseases and biofluids, enabling scalable, affordable, and accessible diagnostics across diverse clinical and research settings, and represents a significant advancement in the intersection of vibrational spectroscopy and artificial intelligence.&nbsp;</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_330216893.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Non-invasive and painless saliva-based diagnostic method for Sj&ouml;gren&rsquo;s Disease<br />
&bull;&nbsp;&nbsp; &nbsp;Rapid and accessible screening suitable for point-of-care and home testing<br />
&bull;&nbsp;&nbsp; &nbsp;Improved diagnostic accuracy through machine learning classification of biochemical spectral fingerprints<br />
&bull;&nbsp;&nbsp; &nbsp;Enhanced model robustness and interpretability via Monte Carlo Dropout uncertainty filtering of low-confidence spectra<br />
&bull;&nbsp;&nbsp; &nbsp;Reduction of noise and irrelevant data, leading to better generalization and reliability<br />
&bull;&nbsp;&nbsp; &nbsp;Applicable to longitudinal monitoring and disease progression tracking<br />
&bull;&nbsp;&nbsp; &nbsp;Potentially extendable to other diseases and biofluids with heterogeneous diagnostic signals<br />
&bull;&nbsp;&nbsp; &nbsp;Supports development of scalable, affordable diagnostic tools for diverse clinical and research settings&nbsp;</p>

<p>Applications: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Point-of-care Sj&ouml;gren&rsquo;s disease screening<br />
&bull;&nbsp;&nbsp; &nbsp;Home-based saliva diagnostic kits<br />
&bull;&nbsp;&nbsp; &nbsp;Longitudinal disease monitoring tools<br />
&bull;&nbsp;&nbsp; &nbsp;Portable autoimmune disease diagnostics<br />
&bull;&nbsp;&nbsp; &nbsp;Research tool for biofluid analysis&nbsp;</p>

<p>Intellectual Property Summary: <br />
Patent application filed</p>

<p>Stage of Development: <br />
Inquire for more information</p>

<p>Licensing Status: <br />
This technology is available for licensing.<br />
&nbsp;</p>]]></description><pubDate>Mon, 04 May 2026 18:23:44 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech?title=ATR%24FTIR_spectroscopy_of_saliva_and_machine_learning_as_a_screening_test_for_the_Sj%c3%b6gren_disease</guid><dataField:caseId>010-26-03</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 17:26:19 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary><![CDATA[This technology uses saliva analysis with infrared spectroscopy and machine learning to provide a fast, non-invasive, and accurate test for Sj&ouml;gren&rsquo;s Disease, filtering out unreliable data to improve diagnosis and potentially screen for other diseases.]]></dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background><![CDATA[Sj&ouml;gren&rsquo;s disease is a chronic autoimmune disorder that primarily targets the body&rsquo;s moisture-producing glands, leading to symptoms such as dry mouth and dry eyes. Diagnosing this condition is particularly challenging due to the overlap of its symptoms with other diseases and the absence of a single, definitive biomarker. The field of non-invasive diagnostics has therefore become increasingly important, as clinicians and researchers seek reliable, accessible, and patient-friendly methods for early detection and monitoring of autoimmune diseases. Saliva, as a readily available and non-invasively collectible biofluid, offers a promising window into the body&rsquo;s biochemical state, making it an attractive medium for disease screening and diagnosis. Current diagnostic approaches for Sj&ouml;gren&rsquo;s disease, such as minor salivary gland biopsies, Schirmer&rsquo;s tests, and serological assays, are often invasive, time-consuming, and lack sufficient specificity and sensitivity. These methods can be uncomfortable for patients, require specialized clinical settings, and may not always yield conclusive results, especially in early or atypical cases. Additionally, traditional spectroscopic and chemometric techniques used to analyze saliva or other biofluids struggle to distinguish diagnostically relevant signals from noise or unrelated biochemical variations, particularly given the heterogeneity of biological samples. This limitation hampers the effectiveness of machine learning models, as irrelevant or low-quality data can lead to poor generalization, reduced interpretability, and increased risk of misclassification&mdash;highlighting the pressing need for more robust, accurate, and user-friendly diagnostic solutions.]]></dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology><![CDATA[This technology offers a non-invasive diagnostic solution for Sj&ouml;gren&rsquo;s Disease by integrating attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy of saliva with a sophisticated machine learning framework. Saliva samples are analyzed using ATR-FTIR to generate comprehensive spectral fingerprints that reflect the biochemical composition associated with disease states. These high-dimensional spectra are then processed by an artificial neural network, which is enhanced by Monte Carlo Dropout (MCD) uncertainty estimation. The MCD mechanism serves as a critical preprocessing step, filtering out spectra with low classification confidence to ensure that only diagnostically relevant and high-quality data are used for model training. This approach not only increases the accuracy of disease detection but also supports rapid, repeatable, and painless sample collection, making it suitable for point-of-care diagnostics, home testing, and longitudinal monitoring. What differentiates this technology is its innovative use of MCD-based uncertainty estimation to address a fundamental challenge in biospectroscopic diagnostics: the inherent variability and noise within biofluid samples, where only a subset of spectra may be diagnostically informative. By systematically identifying and excluding ambiguous or uninformative spectra before model training, the solution enhances the interpretability, generalization, and robustness of the neural network classifier. This results in improved diagnostic performance, reduced risk of overfitting, and greater resilience to sample heterogeneity&mdash;critical for diseases like Sj&ouml;gren&rsquo;s, where biomarkers are sparse and unevenly distributed. The methodology is broadly applicable to other diseases and biofluids, enabling scalable, affordable, and accessible diagnostics across diverse clinical and research settings, and represents a significant advancement in the intersection of vibrational spectroscopy and artificial intelligence.]]></dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_330216893.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Non-invasive and painless saliva-based diagnostic method for Sj&ouml;gren&rsquo;s Disease<br />
&bull;&nbsp;&nbsp; &nbsp;Rapid and accessible screening suitable for point-of-care and home testing<br />
&bull;&nbsp;&nbsp; &nbsp;Improved diagnostic accuracy through machine learning classification of biochemical spectral fingerprints<br />
&bull;&nbsp;&nbsp; &nbsp;Enhanced model robustness and interpretability via Monte Carlo Dropout uncertainty filtering of low-confidence spectra<br />
&bull;&nbsp;&nbsp; &nbsp;Reduction of noise and irrelevant data, leading to better generalization and reliability<br />
&bull;&nbsp;&nbsp; &nbsp;Applicable to longitudinal monitoring and disease progression tracking<br />
&bull;&nbsp;&nbsp; &nbsp;Potentially extendable to other diseases and biofluids with heterogeneous diagnostic signals<br />
&bull;&nbsp;&nbsp; &nbsp;Supports development of scalable, affordable diagnostic tools for diverse clinical and research settings]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Point-of-care Sj&ouml;gren&rsquo;s disease screening<br />
&bull;&nbsp;&nbsp; &nbsp;Home-based saliva diagnostic kits<br />
&bull;&nbsp;&nbsp; &nbsp;Longitudinal disease monitoring tools<br />
&bull;&nbsp;&nbsp; &nbsp;Portable autoimmune disease diagnostics<br />
&bull;&nbsp;&nbsp; &nbsp;Research tool for biofluid analysis]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Patent application filed</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>Inquire for more information</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Igor</dataField:firstName><dataField:lastName>Lednev</dataField:lastName><dataField:title>Distinguished Professor</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>ilednev@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 591-8863</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Bhavikkumar</dataField:firstName><dataField:lastName>Vyas</dataField:lastName><dataField:title>PhD student</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>bvyas@albany.edu</dataField:emailAddress><dataField:phoneNumber>5185918865</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Jürgen</dataField:firstName><dataField:lastName>Popp</dataField:lastName><dataField:title>Adjunct Professor</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>juergen.popp@leibniz-ipht.de</dataField:emailAddress><dataField:phoneNumber>+49 3641 206300</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Oleg</dataField:firstName><dataField:lastName>Ryabchykov</dataField:lastName><dataField:title>Research Associate</dataField:title><dataField:department>Photonic Data Science Department</dataField:department><dataField:emailAddress>oleg.ryabchykov@leibniz-ipht.de</dataField:emailAddress><dataField:phoneNumber>+49 (0)3641 206 350</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>diagnostics, Salivary biomarkers, Sjogren Disease, spectroscopy, Technologies, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Campus > University at Albany| Technology Classifications > Diagnostics]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Temporal Control of CRISPR-Cas9 using Bio-orthogonal Chemistry.</title><link>https://www.canberra-ip.com/tech/Temporal_Control_of_CRISPR-Cas9_using_Bio-orthogonal_Chemistry.</link><description><![CDATA[<p>This technology enables precise, time-controlled activation or deactivation of CRISPR-Cas9 genome editing using biocompatible chemical reactions, reducing off-target effects and improving the safety and accuracy of gene editing for research and therapeutic applications.&nbsp;</p>

<p>Background: <br />
Genome editing technologies, particularly CRISPR-Cas9, have revolutionized the field of molecular biology and therapeutic development by enabling precise, targeted modifications to the genetic material of living organisms. These tools hold immense promise for treating genetic diseases, advancing functional genomics research, and developing novel biotechnological applications. However, the power of genome editing is accompanied by significant challenges, especially in clinical and therapeutic contexts where safety and specificity are paramount. A critical aspect of ensuring safe genome editing is the ability to tightly regulate when and where the editing machinery is active, minimizing unintended consequences and maximizing therapeutic benefit. Despite the transformative potential of CRISPR-Cas9, current approaches to controlling its activity often fall short in providing precise temporal regulation. Conventional strategies, such as inducible promoters, protein engineering, or optogenetic systems, can be limited by slow response times, lack of biocompatibility, or complexity in implementation. These limitations contribute to a persistent problem: off-target genome editing, where the CRISPR-Cas9 system inadvertently modifies DNA sequences similar, but not identical, to the intended target. Such off-target effects can result in unwanted genetic changes, posing significant safety risks and hindering the clinical translation of gene-editing therapies. The inability to rapidly and reversibly control CRISPR-Cas9 activity in a biocompatible manner remains a major barrier to the broader adoption and safe application of genome editing technologies.</p>

<p>Technology Overview: &nbsp;<br />
This technology enables precise temporal control of the CRISPR-Cas9 genome editing system by integrating bio-orthogonal chemistry, specifically the rapid and biocompatible reaction between trans-cyclooctene (TCO) and tetrazine (Tz). The system utilizes small molecule RNA tags and corresponding small molecule activators or suppressors to regulate the nuclease activity of CRISPR-Cas9. By introducing these chemical components, researchers can activate or deactivate the gene-editing machinery at specific times, thereby tightly controlling when genome editing occurs. This approach is particularly valuable for minimizing off-target effects, as it restricts the window during which CRISPR-Cas9 is active, reducing the likelihood of unintended DNA modifications. What differentiates this technology is its reliance on the TCO-Tz bio-orthogonal reaction, which is exceptionally fast and highly compatible with biological systems, allowing for seamless integration into living cells and organisms without disrupting native biochemical processes. Unlike alternative methods that may require complex protein engineering, light-based activation, or less biocompatible chemical systems, this solution offers a straightforward, efficient, and robust means of temporal control. Its design ensures that the CRISPR-Cas9 system can be precisely modulated in vivo, making it especially attractive for therapeutic applications where safety and specificity are paramount. This level of control addresses a significant challenge in the field and positions the technology as a valuable tool for both research and clinical gene editing.</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_1632870774.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Enables precise temporal control of CRISPR-Cas9 activity for targeted genome editing<br />
&bull;&nbsp;&nbsp; &nbsp;Minimizes off-target DNA modifications, enhancing safety and specificity<br />
&bull;&nbsp;&nbsp; &nbsp;Utilizes a fast, highly biocompatible bio-orthogonal reaction (TCO-Tz) suitable for in vivo applications<br />
&bull;&nbsp;&nbsp; &nbsp;Employs small molecule RNA tags and activators/suppressors for flexible regulation<br />
&bull;&nbsp;&nbsp; &nbsp;Reduces the risk of unintended genetic alterations, facilitating clinical translation of gene therapies<br />
&bull;&nbsp;&nbsp; &nbsp;Offers a simpler alternative to complex protein engineering or light-activated systems<br />
&bull;&nbsp;&nbsp; &nbsp;Applicable broadly in gene therapy, research, and development of CRISPR-based therapeutics&nbsp;</p>

<p>Applications: &nbsp;<br />
 &bull;&nbsp;&nbsp; &nbsp;Precision gene therapy development<br />
&bull;&nbsp;&nbsp; &nbsp;Controlled in vivo genome editing<br />
&bull;&nbsp;&nbsp; &nbsp;Temporal functional genomics studies<br />
&bull;&nbsp;&nbsp; &nbsp;Safe CRISPR-based drug discovery&nbsp;</p>

<p>Intellectual Property Summary: <br />
Patent application filed 19/316,343</p>

<p>Stage of Development: <br />
TRL 4</p>

<p>Licensing Status: <br />
This technology is available for licensing.</p>]]></description><pubDate>Mon, 04 May 2026 18:19:57 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech/Temporal_Control_of_CRISPR-Cas9_using_Bio-orthogonal_Chemistry.</guid><dataField:caseId>010-24-37</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 17:25:59 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary>This technology enables precise, time-controlled activation or deactivation of CRISPR-Cas9 genome editing using biocompatible chemical reactions, reducing off-target effects and improving the safety and accuracy of gene editing for research and therapeutic applications.</dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background>Genome editing technologies, particularly CRISPR-Cas9, have revolutionized the field of molecular biology and therapeutic development by enabling precise, targeted modifications to the genetic material of living organisms. These tools hold immense promise for treating genetic diseases, advancing functional genomics research, and developing novel biotechnological applications. However, the power of genome editing is accompanied by significant challenges, especially in clinical and therapeutic contexts where safety and specificity are paramount. A critical aspect of ensuring safe genome editing is the ability to tightly regulate when and where the editing machinery is active, minimizing unintended consequences and maximizing therapeutic benefit. Despite the transformative potential of CRISPR-Cas9, current approaches to controlling its activity often fall short in providing precise temporal regulation. Conventional strategies, such as inducible promoters, protein engineering, or optogenetic systems, can be limited by slow response times, lack of biocompatibility, or complexity in implementation. These limitations contribute to a persistent problem: off-target genome editing, where the CRISPR-Cas9 system inadvertently modifies DNA sequences similar, but not identical, to the intended target. Such off-target effects can result in unwanted genetic changes, posing significant safety risks and hindering the clinical translation of gene-editing therapies. The inability to rapidly and reversibly control CRISPR-Cas9 activity in a biocompatible manner remains a major barrier to the broader adoption and safe application of genome editing technologies.</dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology>This technology enables precise temporal control of the CRISPR-Cas9 genome editing system by integrating bio-orthogonal chemistry, specifically the rapid and biocompatible reaction between trans-cyclooctene (TCO) and tetrazine (Tz). The system utilizes small molecule RNA tags and corresponding small molecule activators or suppressors to regulate the nuclease activity of CRISPR-Cas9. By introducing these chemical components, researchers can activate or deactivate the gene-editing machinery at specific times, thereby tightly controlling when genome editing occurs. This approach is particularly valuable for minimizing off-target effects, as it restricts the window during which CRISPR-Cas9 is active, reducing the likelihood of unintended DNA modifications. What differentiates this technology is its reliance on the TCO-Tz bio-orthogonal reaction, which is exceptionally fast and highly compatible with biological systems, allowing for seamless integration into living cells and organisms without disrupting native biochemical processes. Unlike alternative methods that may require complex protein engineering, light-based activation, or less biocompatible chemical systems, this solution offers a straightforward, efficient, and robust means of temporal control. Its design ensures that the CRISPR-Cas9 system can be precisely modulated in vivo, making it especially attractive for therapeutic applications where safety and specificity are paramount. This level of control addresses a significant challenge in the field and positions the technology as a valuable tool for both research and clinical gene editing.</dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_1632870774.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Enables precise temporal control of CRISPR-Cas9 activity for targeted genome editing<br />
&bull;&nbsp;&nbsp; &nbsp;Minimizes off-target DNA modifications, enhancing safety and specificity<br />
&bull;&nbsp;&nbsp; &nbsp;Utilizes a fast, highly biocompatible bio-orthogonal reaction (TCO-Tz) suitable for in vivo applications<br />
&bull;&nbsp;&nbsp; &nbsp;Employs small molecule RNA tags and activators/suppressors for flexible regulation<br />
&bull;&nbsp;&nbsp; &nbsp;Reduces the risk of unintended genetic alterations, facilitating clinical translation of gene therapies<br />
&bull;&nbsp;&nbsp; &nbsp;Offers a simpler alternative to complex protein engineering or light-activated systems<br />
&bull;&nbsp;&nbsp; &nbsp;Applicable broadly in gene therapy, research, and development of CRISPR-based therapeutics]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Precision gene therapy development<br />
&bull;&nbsp;&nbsp; &nbsp;Controlled in vivo genome editing<br />
&bull;&nbsp;&nbsp; &nbsp;Temporal functional genomics studies<br />
&bull;&nbsp;&nbsp; &nbsp;Safe CRISPR-based drug discovery]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Patent application filed 19/316,343</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>TRL 4</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Maksim</dataField:firstName><dataField:lastName>Royzen</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>mroyzen@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 437-4463</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Bhoomika</dataField:firstName><dataField:lastName>Pandit</dataField:lastName><dataField:title>Graduate Student</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>bpandit@albany.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>biochemistry, CRISPR, Technologies, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Campus > University at Albany| Technology Classifications > Gene Therapy]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Bruton's Tyrosine Kinase as Anti-Cancer Drug Target</title><link>https://www.canberra-ip.com/tech?title=Bruton%27s_Tyrosine_Kinase_as_Anti-Cancer_Drug_Target</link><description><![CDATA[
<p>This technology identifies Bruton&#39;s Tyrosine Kinase (BTK) as a novel target in breast cancer therapy and provides methods for treatment and diagnosis by inhibiting a specific BTK variant.&nbsp;</p>

<p>Background: <br />
Protein tyrosine kinases (PTKs) are essential enzymes involved in cellular communication and regulation, often playing a significant role in cancer development. Bruton&#39;s Tyrosine Kinase (BTK), traditionally known for its role in B cell development, has been found to be critical for the survival of certain breast cancer cells. Research revealed that breast tumor cells express a variant form of BTK at elevated levels compared to normal cells, establishing a new perspective on BTK&rsquo;s function beyond the immune system and suggesting it as a potential therapeutic target in oncology.</p>

<p>Technology Overview: &nbsp;<br />
This technology centers on the discovery and exploitation of a specific variant of BTK with an amino-terminal extension that is predominantly expressed in breast cancer cells. Using RNA interference (RNAi) screening techniques, researchers identified that suppressing BTK expression leads to reduced survival of breast cancer cells. The technology includes methods for targeting this BTK variant with inhibitors, especially RNAi-based therapeutics, to selectively impair cancer cell growth. Furthermore, it proposes diagnostic strategies to detect the BTK variant as a biomarker for breast cancer, enabling more precise diagnosis and monitoring. The innovation lies in recognizing BTK&rsquo;s critical role in tumor development outside its known immune function and providing tailored approaches for both treatment and detection by focusing on the variant uniquely upregulated in cancerous tissue. This dual therapeutic and diagnostic potential offers a promising avenue for improving breast cancer management.&nbsp;</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_837848980.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Target specificity: Focuses on a BTK variant uniquely elevated in breast cancer cells, allowing precise therapeutic targeting.<br />
&bull;&nbsp;&nbsp; &nbsp;Dual functionality: Enables both treatment through BTK inhibition and diagnosis via detection of the BTK variant.<br />
&bull;&nbsp;&nbsp; &nbsp;Innovative approach: Utilizes RNA interference technology for selective suppression of cancer cell proliferation.<br />
&bull;&nbsp;&nbsp; &nbsp;Potential for improved outcomes: By directly targeting essential cancer cell survival pathways, it may lead to more effective therapies with fewer side effects.<br />
&bull;&nbsp;&nbsp; &nbsp;Foundation for drug development: Offers a basis for creating novel BTK inhibitors tailored to breast cancer applications.&nbsp;</p>

<p>Applications: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Development of anti-cancer drugs aimed at inhibiting BTK activity in breast tumors.<br />
&bull;&nbsp;&nbsp; &nbsp;Diagnostic tools for detecting the presence or levels of the BTK variant as a biomarker for breast cancer.<br />
&bull;&nbsp;&nbsp; &nbsp;Personalized medicine approaches that use BTK variant status to guide treatment decisions.<br />
&bull;&nbsp;&nbsp; &nbsp;Research applications in understanding cancer cell survival mechanisms related to tyrosine kinase signaling.<br />
&bull;&nbsp;&nbsp; &nbsp;Potential expansion to other cancers where BTK variants may play a role in disease progression.&nbsp;</p>

<p>Intellectual Property Summary: <br />
Issued patent 8,513,212</p>

<p>Stage of Development: <br />
TRL 4</p>

<p>Licensing Status: <br />
This technology is available for licensing.</p>]]></description><pubDate>Mon, 04 May 2026 18:16:25 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech?title=Bruton%27s_Tyrosine_Kinase_as_Anti-Cancer_Drug_Target</guid><dataField:caseId>08-19-010</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 17:25:32 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary><![CDATA[This technology identifies Bruton&#39;s Tyrosine Kinase (BTK) as a novel target in breast cancer therapy and provides methods for treatment and diagnosis by inhibiting a specific BTK variant.]]></dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background><![CDATA[Protein tyrosine kinases (PTKs) are essential enzymes involved in cellular communication and regulation, often playing a significant role in cancer development. Bruton&#39;s Tyrosine Kinase (BTK), traditionally known for its role in B cell development, has been found to be critical for the survival of certain breast cancer cells. Research revealed that breast tumor cells express a variant form of BTK at elevated levels compared to normal cells, establishing a new perspective on BTK&rsquo;s function beyond the immune system and suggesting it as a potential therapeutic target in oncology.]]></dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology><![CDATA[This technology centers on the discovery and exploitation of a specific variant of BTK with an amino-terminal extension that is predominantly expressed in breast cancer cells. Using RNA interference (RNAi) screening techniques, researchers identified that suppressing BTK expression leads to reduced survival of breast cancer cells. The technology includes methods for targeting this BTK variant with inhibitors, especially RNAi-based therapeutics, to selectively impair cancer cell growth. Furthermore, it proposes diagnostic strategies to detect the BTK variant as a biomarker for breast cancer, enabling more precise diagnosis and monitoring. The innovation lies in recognizing BTK&rsquo;s critical role in tumor development outside its known immune function and providing tailored approaches for both treatment and detection by focusing on the variant uniquely upregulated in cancerous tissue. This dual therapeutic and diagnostic potential offers a promising avenue for improving breast cancer management.]]></dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_837848980.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Target specificity: Focuses on a BTK variant uniquely elevated in breast cancer cells, allowing precise therapeutic targeting.<br />
&bull;&nbsp;&nbsp; &nbsp;Dual functionality: Enables both treatment through BTK inhibition and diagnosis via detection of the BTK variant.<br />
&bull;&nbsp;&nbsp; &nbsp;Innovative approach: Utilizes RNA interference technology for selective suppression of cancer cell proliferation.<br />
&bull;&nbsp;&nbsp; &nbsp;Potential for improved outcomes: By directly targeting essential cancer cell survival pathways, it may lead to more effective therapies with fewer side effects.<br />
&bull;&nbsp;&nbsp; &nbsp;Foundation for drug development: Offers a basis for creating novel BTK inhibitors tailored to breast cancer applications.]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Development of anti-cancer drugs aimed at inhibiting BTK activity in breast tumors.<br />
&bull;&nbsp;&nbsp; &nbsp;Diagnostic tools for detecting the presence or levels of the BTK variant as a biomarker for breast cancer.<br />
&bull;&nbsp;&nbsp; &nbsp;Personalized medicine approaches that use BTK variant status to guide treatment decisions.<br />
&bull;&nbsp;&nbsp; &nbsp;Research applications in understanding cancer cell survival mechanisms related to tyrosine kinase signaling.<br />
&bull;&nbsp;&nbsp; &nbsp;Potential expansion to other cancers where BTK variants may play a role in disease progression.]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Issued patent 8,513,212</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>TRL 4</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Douglas</dataField:firstName><dataField:lastName>Conklin</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>Biomedical Science</dataField:department><dataField:emailAddress>dconklin@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 591-7154</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Antonis</dataField:firstName><dataField:lastName>Kourtidis</dataField:lastName><dataField:title>Assistant Professor</dataField:title><dataField:department>Regenerative Medicine and Cell Biology</dataField:department><dataField:emailAddress>kourtidi@musc.edu</dataField:emailAddress><dataField:phoneNumber>(843) 792-9170</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Cheryl</dataField:firstName><dataField:lastName>Eifert</dataField:lastName><dataField:title>Personlized Medicine Scientist</dataField:title><dataField:department></dataField:department><dataField:emailAddress>chereifert@gmail.com</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>breast cancer, cancer, TAF, Technologies, therapeutic targets, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Therapeutics and Vaccines| Technology Classifications > Biomedical Science and Engineering| Campus > University at Albany]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Spectroscopic Method for Diagnostics of Alzheimer's Disease</title><link>https://www.canberra-ip.com/tech?title=Spectroscopic_Method_for_Diagnostics_of_Alzheimer%27s_Disease</link><description><![CDATA[
<p>This technology provides a non-invasive, spectroscopic method using Raman spectroscopy to diagnose and monitor Alzheimer&rsquo;s disease by analyzing biochemical changes in blood serum.&nbsp;</p>

<p>Background: <br />
Alzheimer&rsquo;s disease presents significant diagnostic challenges, often requiring invasive or costly procedures with limited early detection capabilities. Traditional diagnostic methods lack efficiency for timely and accurate identification, which is crucial for managing disease progression. Research into spectroscopic techniques revealed the potential for detecting molecular changes associated with Alzheimer&rsquo;s in blood serum, leading to the development of this innovative diagnostic approach.</p>

<p>Technology Overview: &nbsp;<br />
This technology employs Raman spectroscopy, specifically including Surface Enhanced Raman Spectroscopy (SERS), to obtain a unique spectroscopic signature from a subject&rsquo;s blood serum sample. By analyzing this signature, the method detects biochemical markers indicative of Alzheimer&rsquo;s disease. The Raman spectroscopic signature reflects molecular vibrations that change as the disease progresses, allowing differentiation between healthy individuals, Alzheimer&rsquo;s patients, and those with other types of dementia. Advanced statistical tools such as support vector machines (SVM) and artificial neural networks (ANN) are integrated to analyze the spectroscopic data. These machine learning methods classify the spectral signatures with high accuracy, enhancing diagnostic reliability. Experimentation has validated this approach&rsquo;s effectiveness in identifying Alzheimer&rsquo;s disease and monitoring its progression. The value proposition lies in its non-invasive nature, employing blood serum samples rather than more invasive brain imaging or cerebrospinal fluid analysis. It offers a cost-effective, rapid, and scalable tool for early diagnosis and disease monitoring, potentially transforming patient care by enabling timely therapeutic interventions.&nbsp;</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_733997563.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Non-invasive testing method using easily accessible blood serum samples.<br />
&bull;&nbsp;&nbsp; &nbsp;High diagnostic accuracy facilitated by advanced machine learning classification.<br />
&bull;&nbsp;&nbsp; &nbsp;Capability to distinguish Alzheimer&rsquo;s disease from other forms of dementia.<br />
&bull;&nbsp;&nbsp; &nbsp;Cost-effective and rapid compared to traditional imaging or biochemical tests.<br />
&bull;&nbsp;&nbsp; &nbsp;Supports early detection and continuous monitoring of disease progression.<br />
&bull;&nbsp;&nbsp; &nbsp;Utilizes Surface Enhanced Raman Spectroscopy to improve sensitivity and specificity.&nbsp;</p>

<p>Applications: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Clinical diagnosis of Alzheimer&rsquo;s disease in healthcare settings.<br />
&bull;&nbsp;&nbsp; &nbsp;Screening tool for early detection in at-risk populations.<br />
&bull;&nbsp;&nbsp; &nbsp;Monitoring disease progression in diagnosed patients for personalized treatment planning.<br />
&bull;&nbsp;&nbsp; &nbsp;Research tool for studying biochemical changes related to neurodegenerative diseases.<br />
&bull;&nbsp;&nbsp; &nbsp;Supportive technology in developing new Alzheimer&rsquo;s therapies by tracking biochemical responses.&nbsp;</p>

<p>Intellectual Property Summary: <br />
Issued patent 9,891,108</p>

<p>Stage of Development: <br />
TRL 4</p>

<p>Licensing Status: <br />
This technology is available for licensing.<br />
&nbsp;</p>]]></description><pubDate>Mon, 04 May 2026 18:14:02 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech?title=Spectroscopic_Method_for_Diagnostics_of_Alzheimer%27s_Disease</guid><dataField:caseId>10-16-010</dataField:caseId><dataField:lastUpdateDate>Wed, 06 May 2026 12:54:40 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary><![CDATA[This technology provides a non-invasive, spectroscopic method using Raman spectroscopy to diagnose and monitor Alzheimer&rsquo;s disease by analyzing biochemical changes in blood serum.]]></dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background><![CDATA[Alzheimer&rsquo;s disease presents significant diagnostic challenges, often requiring invasive or costly procedures with limited early detection capabilities. Traditional diagnostic methods lack efficiency for timely and accurate identification, which is crucial for managing disease progression. Research into spectroscopic techniques revealed the potential for detecting molecular changes associated with Alzheimer&rsquo;s in blood serum, leading to the development of this innovative diagnostic approach.]]></dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology><![CDATA[This technology employs Raman spectroscopy, specifically including Surface Enhanced Raman Spectroscopy (SERS), to obtain a unique spectroscopic signature from a subject&rsquo;s blood serum sample. By analyzing this signature, the method detects biochemical markers indicative of Alzheimer&rsquo;s disease. The Raman spectroscopic signature reflects molecular vibrations that change as the disease progresses, allowing differentiation between healthy individuals, Alzheimer&rsquo;s patients, and those with other types of dementia. Advanced statistical tools such as support vector machines (SVM) and artificial neural networks (ANN) are integrated to analyze the spectroscopic data. These machine learning methods classify the spectral signatures with high accuracy, enhancing diagnostic reliability. Experimentation has validated this approach&rsquo;s effectiveness in identifying Alzheimer&rsquo;s disease and monitoring its progression. The value proposition lies in its non-invasive nature, employing blood serum samples rather than more invasive brain imaging or cerebrospinal fluid analysis. It offers a cost-effective, rapid, and scalable tool for early diagnosis and disease monitoring, potentially transforming patient care by enabling timely therapeutic interventions.]]></dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_733997563.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Non-invasive testing method using easily accessible blood serum samples.<br />
&bull;&nbsp;&nbsp; &nbsp;High diagnostic accuracy facilitated by advanced machine learning classification.<br />
&bull;&nbsp;&nbsp; &nbsp;Capability to distinguish Alzheimer&rsquo;s disease from other forms of dementia.<br />
&bull;&nbsp;&nbsp; &nbsp;Cost-effective and rapid compared to traditional imaging or biochemical tests.<br />
&bull;&nbsp;&nbsp; &nbsp;Supports early detection and continuous monitoring of disease progression.<br />
&bull;&nbsp;&nbsp; &nbsp;Utilizes Surface Enhanced Raman Spectroscopy to improve sensitivity and specificity.]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Clinical diagnosis of Alzheimer&rsquo;s disease in healthcare settings.<br />
&bull;&nbsp;&nbsp; &nbsp;Screening tool for early detection in at-risk populations.<br />
&bull;&nbsp;&nbsp; &nbsp;Monitoring disease progression in diagnosed patients for personalized treatment planning.<br />
&bull;&nbsp;&nbsp; &nbsp;Research tool for studying biochemical changes related to neurodegenerative diseases.<br />
&bull;&nbsp;&nbsp; &nbsp;Supportive technology in developing new Alzheimer&rsquo;s therapies by tracking biochemical responses.]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Issued patent 9,891,108</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>TRL 4</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Igor</dataField:firstName><dataField:lastName>Lednev</dataField:lastName><dataField:title>Distinguished Professor</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>ilednev@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 591-8863</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Alzheimer's, blood, diagnostics, neurodegeneration, Raman spectroscopy, statistical analysis, TAF, Technologies, vibrational spectroscopy, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Diagnostics| Campus > University at Albany]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Diagnosing Alzheimer's via Raman Spectroscopic Analysis of Saliva</title><link>https://www.canberra-ip.com/tech?title=Diagnosing_Alzheimer%27s_via_Raman_Spectroscopic_Analysis_of_Saliva</link><description><![CDATA[<p>This technology provides a non-invasive method for early detection of cognitive diseases using spectroscopic analysis of saliva samples combined with advanced statistical and neural network models.&nbsp;</p>

<p>Background: <br />
Cognitive diseases such as Alzheimer&#39;s and mild cognitive impairment (MCI) represent significant challenges in healthcare due to their subtle early symptoms and the difficulty of timely diagnosis. Traditional diagnostic methods often rely on invasive procedures, costly imaging, or subjective clinical assessments, which can delay effective treatment and intervention. Recognizing the need for a more accessible and accurate diagnostic approach, researchers developed a system that leverages saliva&mdash;a readily obtainable biofluid&mdash;and advanced spectroscopic analysis to identify disease-specific biomarkers.</p>

<p>Technology Overview: &nbsp;<br />
This innovative technology employs spectroscopic techniques, including Raman and Fourier Transform Infrared (FTIR) spectroscopy, to analyze saliva samples and generate unique spectroscopic signatures corresponding to various cognitive conditions. By capturing the molecular composition reflected in these signatures, the system translates biological changes associated with cognitive diseases into measurable data. A key feature of this approach is the integration of a sophisticated computing system that uses neural networks and predetermined statistical models to interpret the spectroscopic data. These models have been trained to correlate specific spectral patterns with cognitive states such as healthy, Alzheimer&#39;s disease, or mild cognitive impairment. This process enables objective classification based on biochemical markers rather than solely clinical observation. The system design includes a spectroscopy device optimized for saliva analysis, enhancing ease of sample collection and testing. Additionally, the use of machine learning algorithms allows continuous improvement and calibration of the detection accuracy as more data becomes available. Overall, this technology offers a rapid, non-invasive, and scalable solution for early cognitive disease detection, potentially transforming patient care by facilitating timely diagnosis and personalized treatment planning.&nbsp;</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_194754842.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Non-invasive testing using saliva samples, improving patient comfort and compliance.<br />
&bull;&nbsp;&nbsp; &nbsp;Rapid and accurate detection through advanced spectroscopic analysis combined with neural networks.<br />
&bull;&nbsp;&nbsp; &nbsp;Ability to distinguish between healthy, Alzheimer&#39;s, and mild cognitive impairment conditions effectively.<br />
&bull;&nbsp;&nbsp; &nbsp;Reduced reliance on costly and invasive diagnostic procedures like imaging or biopsies.<br />
&bull;&nbsp;&nbsp; &nbsp;Scalable and adaptable system capable of continuous learning and improvement with additional data.<br />
&bull;&nbsp;&nbsp; &nbsp;Potential to facilitate earlier diagnosis, enabling timely intervention and better patient outcomes.&nbsp;</p>

<p>Applications: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Clinical screening and early diagnosis of cognitive impairments such as Alzheimer&#39;s disease and MCI.<br />
&bull;&nbsp;&nbsp; &nbsp;Monitoring disease progression and response to treatment in patients with cognitive disorders.<br />
&bull;&nbsp;&nbsp; &nbsp;Use in healthcare settings as a cost-effective alternative to traditional diagnostic methods.<br />
&bull;&nbsp;&nbsp; &nbsp;Integration into routine health check-ups for populations at risk of cognitive decline.<br />
&bull;&nbsp;&nbsp; &nbsp;Research tool for understanding biochemical markers associated with cognitive diseases.&nbsp;</p>

<p>Intellectual Property Summary: <br />
Patent application filed 17/368,251</p>

<p>Stage of Development: <br />
TRL 4</p>

<p>Licensing Status: <br />
This technology is available for licensing.<br />
&nbsp;</p>]]></description><pubDate>Mon, 04 May 2026 18:10:45 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech?title=Diagnosing_Alzheimer%27s_via_Raman_Spectroscopic_Analysis_of_Saliva</guid><dataField:caseId>010-18-13</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 17:24:37 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary>This technology provides a non-invasive method for early detection of cognitive diseases using spectroscopic analysis of saliva samples combined with advanced statistical and neural network models.</dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background><![CDATA[Cognitive diseases such as Alzheimer&#39;s and mild cognitive impairment (MCI) represent significant challenges in healthcare due to their subtle early symptoms and the difficulty of timely diagnosis. Traditional diagnostic methods often rely on invasive procedures, costly imaging, or subjective clinical assessments, which can delay effective treatment and intervention. Recognizing the need for a more accessible and accurate diagnostic approach, researchers developed a system that leverages saliva&mdash;a readily obtainable biofluid&mdash;and advanced spectroscopic analysis to identify disease-specific biomarkers.]]></dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology><![CDATA[This innovative technology employs spectroscopic techniques, including Raman and Fourier Transform Infrared (FTIR) spectroscopy, to analyze saliva samples and generate unique spectroscopic signatures corresponding to various cognitive conditions. By capturing the molecular composition reflected in these signatures, the system translates biological changes associated with cognitive diseases into measurable data. A key feature of this approach is the integration of a sophisticated computing system that uses neural networks and predetermined statistical models to interpret the spectroscopic data. These models have been trained to correlate specific spectral patterns with cognitive states such as healthy, Alzheimer&#39;s disease, or mild cognitive impairment. This process enables objective classification based on biochemical markers rather than solely clinical observation. The system design includes a spectroscopy device optimized for saliva analysis, enhancing ease of sample collection and testing. Additionally, the use of machine learning algorithms allows continuous improvement and calibration of the detection accuracy as more data becomes available. Overall, this technology offers a rapid, non-invasive, and scalable solution for early cognitive disease detection, potentially transforming patient care by facilitating timely diagnosis and personalized treatment planning.]]></dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_194754842.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Non-invasive testing using saliva samples, improving patient comfort and compliance.<br />
&bull;&nbsp;&nbsp; &nbsp;Rapid and accurate detection through advanced spectroscopic analysis combined with neural networks.<br />
&bull;&nbsp;&nbsp; &nbsp;Ability to distinguish between healthy, Alzheimer&#39;s, and mild cognitive impairment conditions effectively.<br />
&bull;&nbsp;&nbsp; &nbsp;Reduced reliance on costly and invasive diagnostic procedures like imaging or biopsies.<br />
&bull;&nbsp;&nbsp; &nbsp;Scalable and adaptable system capable of continuous learning and improvement with additional data.<br />
&bull;&nbsp;&nbsp; &nbsp;Potential to facilitate earlier diagnosis, enabling timely intervention and better patient outcomes.]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Clinical screening and early diagnosis of cognitive impairments such as Alzheimer&#39;s disease and MCI.<br />
&bull;&nbsp;&nbsp; &nbsp;Monitoring disease progression and response to treatment in patients with cognitive disorders.<br />
&bull;&nbsp;&nbsp; &nbsp;Use in healthcare settings as a cost-effective alternative to traditional diagnostic methods.<br />
&bull;&nbsp;&nbsp; &nbsp;Integration into routine health check-ups for populations at risk of cognitive decline.<br />
&bull;&nbsp;&nbsp; &nbsp;Research tool for understanding biochemical markers associated with cognitive diseases.]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Patent application filed 17/368,251</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>TRL 4</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Igor</dataField:firstName><dataField:lastName>Lednev</dataField:lastName><dataField:title>Distinguished Professor</dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>ilednev@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 591-8863</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Nicole</dataField:firstName><dataField:lastName>Ralbovsky</dataField:lastName><dataField:title><![CDATA[Doctoral Candidate & Research Assistant, Lednev Lab]]></dataField:title><dataField:department>Chemistry</dataField:department><dataField:emailAddress>nralbovsky@albany.edu</dataField:emailAddress><dataField:phoneNumber>(518) 442-4442</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Cay</dataField:firstName><dataField:lastName>Anderson-Hanley</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department><![CDATA[Psychology & Neuroscience]]></dataField:department><dataField:emailAddress>andersoc@union.edu</dataField:emailAddress><dataField:phoneNumber>(518) 388-6355</dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Alzheimer's, diagnostics, saliva, solar cells, TAF, Technologies, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Technology Classifications > Diagnostics| Campus > University at Albany]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Advanced Water-Soluble Polyurethane Dispersions</title><link>https://www.canberra-ip.com/tech/Advanced_Water-Soluble_Polyurethane_Dispersions</link><description><![CDATA[<div ><strong>Invention Description</strong></div>

<div >Polyurethanes (PUs) are highly versatile materials that offer researchers and industry professionals great molecular customizability, allowing for applications ranging from biomedical devices to specialized coatings and adhesives. Conventional solvent-based polyurethanes pose significant environmental and health risks due to high emissions of volatile organic compounds (VOCs) and free isocyanates. Driven by stricter environmental regulations and expanding industrial applications, such as water purification and apparel, interest in water-soluble PUs (WPUs) has grown significantly.</div>

<div >&nbsp;</div>

<div >Prof. Yoan Simon at Arizona State University has developed novel water-soluble polyurethane dispersions as well as synthesis routes. These WPUs overcome the environmental and health concerns of traditional solvent-based systems and their unique structure provides exceptional stability, particularly in high-salt environments where conventional water-based polyurethanes commonly fail. The polymer&rsquo;s structure can be fine-tuned to control self-assembly, rheological behavior, and final film properties, resulting in highly versatile and functional materials.</div>

<div >&nbsp;</div>

<div >These WPUs deliver an eco-friendly alternative to solvent-based polyurethanes with reduced VOC emissions, combining advantages such as biodegradability, biocompatibility, and antifouling properties that are highly desirable for biomedical devices, cosmetics, coatings, and other formulations.</div>

<div >&nbsp;</div>

<div ><strong>Potential Applications</strong></div>

<ul>
	<li >Coatings and Paints: High-performance, eco-friendly formulations for various surfaces</li>
	<li >Cosmetics: Stable and gentle ingredients for personal care products</li>
	<li >Energy: Enhanced oil recovery applications where high-salinity tolerance is crucial</li>
	<li >Biomedical: Potential use in bioprinting tissue scaffolds and other biological applications requiring biocompatible materials</li>
</ul>

<div ><strong>Benefits and Advantages</strong></div>

<ul>
	<li >The water-based formulation reduces the environmental impact and health risks associated with traditional solvent-based polyurethane manufacturing and use</li>
	<li >Enhanced Stability: Exhibits robust stability across a wide range of salt concentrations, a significant improvement over traditional water-based polyurethanes</li>
	<li >Highly Customizable: The mechanical, thermal, and rheological properties can be precisely tuned by adjusting the zwitterionic content and polymer structure</li>
	<li >Versatile Functionality: Suitable for a broad spectrum of applications due to its adaptable nature and stable performance</li>
	<li >Provides a high-performance alternative for applications requiring both environmental compliance and material robustness</li>
</ul>]]></description><pubDate>Mon, 04 May 2026 17:55:25 GMT</pubDate><author>ip@skysonginnovations.com</author><guid>https://www.canberra-ip.com/tech/Advanced_Water-Soluble_Polyurethane_Dispersions</guid><dataField:caseId>M26-016P</dataField:caseId><dataField:lastUpdateDate>Mon, 04 May 2026 17:55:25 GMT</dataField:lastUpdateDate><dataField:inventorList><dataField:inventor><dataField:firstName>Yoan</dataField:firstName><dataField:lastName>Simon</dataField:lastName><dataField:title>Associate Professor</dataField:title><dataField:department>School of Molecular Sciences</dataField:department><dataField:emailAddress>yoan.simon@asu.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>Advanced manufacturing, Biomedical devices, Cosmetics, Paints and Coatings, Petroleum and Fuel, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Physical Sciences</dataField:firstName><dataField:lastName>Team</dataField:lastName><dataField:title></dataField:title><dataField:department></dataField:department><dataField:emailAddress></dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName>Advanced Materials/Nanotechnology| Manufacturing/Construction/Mechanical| Physical Science</dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item><item><title>Structurally and Functionally Diverse Heterocyclic Dipeptide Isosteres and Their Derivatives as Antimicrobial Agents and Peptidomimetic Building Blocks</title><link>https://www.canberra-ip.com/tech/Structurally_and_Functionally_Diverse_Heterocyclic_Dipeptide_Isosteres_and_Their_Derivatives_as_Antimicrobial_Agents_and_Peptidomimetic_Building_Blocks</link><description><![CDATA[<p>This technology enables rapid, modular synthesis of diverse heterocyclic dipeptide isosteres with potent antimicrobial activity, which can be easily incorporated into peptides to create stable, bioactive molecules for drug discovery and therapeutic applications.&nbsp;</p>

<p>Background: <br />
The field of antimicrobial drug discovery and peptidomimetic development is of critical importance due to the escalating threat of multidrug-resistant (MDR) bacterial infections and the inherent limitations of traditional peptide therapeutics. Conventional peptides, while highly specific and potent, suffer from poor metabolic stability and rapid degradation in biological environments, limiting their clinical utility. There is a pressing need for new molecular scaffolds that not only exhibit potent antimicrobial activity but also possess enhanced pharmacokinetic properties, such as increased rigidity and resistance to enzymatic breakdown. Furthermore, expanding the chemical diversity of peptidomimetic building blocks is essential for developing next-generation therapeutics capable of targeting a broader range of biological processes, including protein&ndash;protein interactions and resistant bacterial strains. Current approaches to synthesizing dipeptide isosteres and heterocyclic peptidomimetics are hampered by several significant challenges. Traditional synthetic methods often yield low product quantities and lack the functional group tolerance necessary for constructing structurally diverse libraries. This restricts the exploration of new chemical space and limits the ability to optimize biological activity through structure&ndash;activity relationship (SAR) studies. Additionally, the integration of these scaffolds into peptide synthesis workflows is frequently inefficient, impeding the rapid generation and evaluation of novel compounds. As a result, the pace of discovery for new antimicrobial agents and stable peptidomimetics remains insufficient to address the urgent need for effective treatments against MDR pathogens and to expand the toolkit available for chemical biology and therapeutic development.</p>

<p>Technology Overview: &nbsp;<br />
This technology is a modular synthetic platform designed for the efficient generation of structurally and functionally diverse heterocyclic dipeptide isosteres and their derivatives. At its core, the platform employs an amination process to produce heterocyclic amino esters. These intermediates are then regioselectively halogenated and further diversified, resulting in a broad library of dipeptide isosteres with customizable features. Some of these compounds have demonstrated significant broad-spectrum antimicrobial activity, particularly against drug-resistant strains like *Staphylococcus aureus* and *Enterococcus faecalis*, with efficacy comparable to established antibiotics. Additionally, these isosteres can be converted into certain amino acids, which are easily incorporated into peptides or peptoids via solid-phase peptide synthesis, enabling the creation of heterocyclic backbone-containing peptides with improved rigidity, stability, and biological activity. What differentiates this technology is its highly modular and chemo-selective synthetic approach, which overcomes the limitations of traditional dipeptide isostere synthesis&mdash;often hampered by low yields and poor functional group tolerance. The platform&rsquo;s ability to rapidly generate a diverse array of heterocyclic scaffolds allows for extensive structure&ndash;activity relationship studies and swift optimization of bioactive compounds. Its demonstrated antimicrobial efficacy against multidrug-resistant pathogens directly addresses the urgent need for new antibiotic scaffolds, while the seamless integration of its building blocks into standard peptide synthesis pipelines expands the toolkit for developing next-generation peptidomimetics and therapeutics. Furthermore, the technology&rsquo;s compatibility with DNA-encoded libraries and broad applicability across pharmaceuticals, diagnostics, agriculture, and chemical biology make it a versatile and valuable solution for advancing drug discovery and biomedical research.&nbsp;</p>

<p>https://suny.technologypublisher.com/files/sites/adobestock_84589964.jpeg<br />
Photo for reference only, not a depiction of the invention.</p>

<p>Advantages: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Enables modular, chemo-selective synthesis of structurally diverse heterocyclic dipeptide isosteres with broad functional group tolerance.<br />
&bull;&nbsp;&nbsp; &nbsp;Generates a large library of compounds with tunable properties.<br />
&bull;&nbsp;&nbsp; &nbsp;Demonstrates potent broad-spectrum antimicrobial activity against antibiotic-resistant pathogens such as Staphylococcus aureus and Enterococcus faecalis.<br />
&bull;&nbsp;&nbsp; &nbsp;Facilitates conversion into heterocyclic amino acids compatible with solid-phase peptide synthesis, enabling creation of peptides with enhanced rigidity, stability, and biological activity.<br />
&bull;&nbsp;&nbsp; &nbsp;Addresses urgent needs in antibiotic resistance and expands chemical diversity for peptidomimetic drug discovery and protein&ndash;protein interaction studies.<br />
&bull;&nbsp;&nbsp; &nbsp;Integrates seamlessly with existing pharmaceutical, chemical biology, diagnostic, and agricultural applications, supporting diverse therapeutic and research uses.<br />
&bull;&nbsp;&nbsp; &nbsp;Provides a scalable, robust synthetic platform that overcomes limitations of traditional dipeptide isostere synthesis methods.&nbsp;</p>

<p>Applications: &nbsp;<br />
&bull;&nbsp;&nbsp; &nbsp;Next-generation antibiotic drug development<br />
&bull;&nbsp;&nbsp; &nbsp;Peptidomimetic drug discovery<br />
&bull;&nbsp;&nbsp; &nbsp;Protein&ndash;protein interaction inhibitor design<br />
&bull;&nbsp;&nbsp; &nbsp;Stable peptide-based diagnostics<br />
&bull;&nbsp;&nbsp; &nbsp;Antimicrobial coatings for surfaces&nbsp;</p>

<p>Intellectual Property Summary: <br />
Patent application filed</p>

<p>Stage of Development: <br />
TRL 3</p>

<p>Licensing Status: <br />
This technology is available for licensing.<br />
&nbsp;</p>]]></description><pubDate>Mon, 04 May 2026 17:25:27 GMT</pubDate><author>IEA@rfsuny.org</author><guid>https://www.canberra-ip.com/tech/Structurally_and_Functionally_Diverse_Heterocyclic_Dipeptide_Isosteres_and_Their_Derivatives_as_Antimicrobial_Agents_and_Peptidomimetic_Building_Blocks</guid><dataField:caseId>160-2394</dataField:caseId><dataField:lastUpdateDate>Tue, 05 May 2026 17:23:55 GMT</dataField:lastUpdateDate><dataField:AlgoliaSummary>This technology enables rapid, modular synthesis of diverse heterocyclic dipeptide isosteres with potent antimicrobial activity, which can be easily incorporated into peptides to create stable, bioactive molecules for drug discovery and therapeutic applications.</dataField:AlgoliaSummary><dataField:HDBackground>Background:</dataField:HDBackground><dataField:Background><![CDATA[The field of antimicrobial drug discovery and peptidomimetic development is of critical importance due to the escalating threat of multidrug-resistant (MDR) bacterial infections and the inherent limitations of traditional peptide therapeutics. Conventional peptides, while highly specific and potent, suffer from poor metabolic stability and rapid degradation in biological environments, limiting their clinical utility. There is a pressing need for new molecular scaffolds that not only exhibit potent antimicrobial activity but also possess enhanced pharmacokinetic properties, such as increased rigidity and resistance to enzymatic breakdown. Furthermore, expanding the chemical diversity of peptidomimetic building blocks is essential for developing next-generation therapeutics capable of targeting a broader range of biological processes, including protein&ndash;protein interactions and resistant bacterial strains. Current approaches to synthesizing dipeptide isosteres and heterocyclic peptidomimetics are hampered by several significant challenges. Traditional synthetic methods often yield low product quantities and lack the functional group tolerance necessary for constructing structurally diverse libraries. This restricts the exploration of new chemical space and limits the ability to optimize biological activity through structure&ndash;activity relationship (SAR) studies. Additionally, the integration of these scaffolds into peptide synthesis workflows is frequently inefficient, impeding the rapid generation and evaluation of novel compounds. As a result, the pace of discovery for new antimicrobial agents and stable peptidomimetics remains insufficient to address the urgent need for effective treatments against MDR pathogens and to expand the toolkit available for chemical biology and therapeutic development.]]></dataField:Background><dataField:HDTechnology>Technology Overview:</dataField:HDTechnology><dataField:Technology><![CDATA[This technology is a modular synthetic platform designed for the efficient generation of structurally and functionally diverse heterocyclic dipeptide isosteres and their derivatives. At its core, the platform employs an amination process to produce heterocyclic amino esters. These intermediates are then regioselectively halogenated and further diversified, resulting in a broad library of dipeptide isosteres with customizable features. Some of these compounds have demonstrated significant broad-spectrum antimicrobial activity, particularly against drug-resistant strains like *Staphylococcus aureus* and *Enterococcus faecalis*, with efficacy comparable to established antibiotics. Additionally, these isosteres can be converted into certain amino acids, which are easily incorporated into peptides or peptoids via solid-phase peptide synthesis, enabling the creation of heterocyclic backbone-containing peptides with improved rigidity, stability, and biological activity. What differentiates this technology is its highly modular and chemo-selective synthetic approach, which overcomes the limitations of traditional dipeptide isostere synthesis&mdash;often hampered by low yields and poor functional group tolerance. The platform&rsquo;s ability to rapidly generate a diverse array of heterocyclic scaffolds allows for extensive structure&ndash;activity relationship studies and swift optimization of bioactive compounds. Its demonstrated antimicrobial efficacy against multidrug-resistant pathogens directly addresses the urgent need for new antibiotic scaffolds, while the seamless integration of its building blocks into standard peptide synthesis pipelines expands the toolkit for developing next-generation peptidomimetics and therapeutics. Furthermore, the technology&rsquo;s compatibility with DNA-encoded libraries and broad applicability across pharmaceuticals, diagnostics, agriculture, and chemical biology make it a versatile and valuable solution for advancing drug discovery and biomedical research.]]></dataField:Technology><dataField:Picture>https://suny.technologypublisher.com/files/sites/adobestock_84589964.jpeg</dataField:Picture><dataField:PictureRef>Photo for reference only, not a depiction of the invention.</dataField:PictureRef><dataField:HDAdvantages>Advantages:</dataField:HDAdvantages><dataField:Advantages><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Enables modular, chemo-selective synthesis of structurally diverse heterocyclic dipeptide isosteres with broad functional group tolerance.<br />
&bull;&nbsp;&nbsp; &nbsp;Generates a large library of compounds with tunable properties.<br />
&bull;&nbsp;&nbsp; &nbsp;Demonstrates potent broad-spectrum antimicrobial activity against antibiotic-resistant pathogens such as Staphylococcus aureus and Enterococcus faecalis.<br />
&bull;&nbsp;&nbsp; &nbsp;Facilitates conversion into heterocyclic amino acids compatible with solid-phase peptide synthesis, enabling creation of peptides with enhanced rigidity, stability, and biological activity.<br />
&bull;&nbsp;&nbsp; &nbsp;Addresses urgent needs in antibiotic resistance and expands chemical diversity for peptidomimetic drug discovery and protein&ndash;protein interaction studies.<br />
&bull;&nbsp;&nbsp; &nbsp;Integrates seamlessly with existing pharmaceutical, chemical biology, diagnostic, and agricultural applications, supporting diverse therapeutic and research uses.<br />
&bull;&nbsp;&nbsp; &nbsp;Provides a scalable, robust synthetic platform that overcomes limitations of traditional dipeptide isostere synthesis methods.]]></dataField:Advantages><dataField:HDApplication>Applications:</dataField:HDApplication><dataField:Application><![CDATA[&bull;&nbsp;&nbsp; &nbsp;Next-generation antibiotic drug development<br />
&bull;&nbsp;&nbsp; &nbsp;Peptidomimetic drug discovery<br />
&bull;&nbsp;&nbsp; &nbsp;Protein&ndash;protein interaction inhibitor design<br />
&bull;&nbsp;&nbsp; &nbsp;Stable peptide-based diagnostics<br />
&bull;&nbsp;&nbsp; &nbsp;Antimicrobial coatings for surfaces]]></dataField:Application><dataField:HDPatentStatus>Intellectual Property Summary:</dataField:HDPatentStatus><dataField:PatentStatus>Patent application filed</dataField:PatentStatus><dataField:HDStageOfDevelopment>Stage of Development:</dataField:HDStageOfDevelopment><dataField:StageOfDevelopment>TRL 3</dataField:StageOfDevelopment><dataField:HDLicensingStatus>Licensing Status:</dataField:HDLicensingStatus><dataField:LicensingStatus>This technology is available for licensing.</dataField:LicensingStatus><dataField:inventorList><dataField:inventor><dataField:firstName>Sujit</dataField:firstName><dataField:lastName>Suwal</dataField:lastName><dataField:title>Assoc. Prof.</dataField:title><dataField:department>chemistry</dataField:department><dataField:emailAddress>suwals@buffalostate.edu</dataField:emailAddress><dataField:phoneNumber>716-878-9865</dataField:phoneNumber></dataField:inventor><dataField:inventor><dataField:firstName>Olga</dataField:firstName><dataField:lastName>Novikova</dataField:lastName><dataField:title>Dr.</dataField:title><dataField:department>Biology</dataField:department><dataField:emailAddress>novikoos@buffalostate.edu</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:inventor></dataField:inventorList><dataField:keywords>antibacterial, Bioactive heterocyclic amino esters and peptidomimetics, Chemo-selective synthesis of heterocyclic amino esters, iterative Buchwald Hartwig amination and Suzuki coupling, Technologies, </dataField:keywords><dataField:licensingContactList><dataField:licensingContact><dataField:firstName>Patrick</dataField:firstName><dataField:lastName>Nelson</dataField:lastName><dataField:title>Life Sciences IP Manager</dataField:title><dataField:department><![CDATA[Office of Industry & External Affairs]]></dataField:department><dataField:emailAddress>patrick.nelson@rfsuny.org</dataField:emailAddress><dataField:phoneNumber></dataField:phoneNumber></dataField:licensingContact></dataField:licensingContactList><dataField:categoryName><![CDATA[Campus > Buffalo State College| Technology Classifications > Drug Design and Synthesis]]></dataField:categoryName><dataField:Patents></dataField:Patents><dataField:customParameters></dataField:customParameters><dataField:isFeatured>False</dataField:isFeatured></item></channel></rss>