Latest technologies from Canberra IP

Artificially Intelligent Motivational Interviewing Instrument (AIMII)

JianlingL@tla.arizona.edu — Wed, 22 Jul 2026 09:43:43 GMT

The Artificially Intelligent Motivational Interviewing Instrument (AIMII) is an innovative system designed to provide a faster and more accurate process of teaching and assessing motivational interviewing (MI) as used by health care practitioners (UCPs). This system employs natural language processing in combination with machine learning to detect subtle conversational patterns, strengthening both the scientific rigor and practical utility of MI assessment.

Background:
The development of AIMII is motivated by the need for more efficient, scalable, and ecologically valid methods for evaluating motivational interviewing (MI) in clinical settings. Although established human-coded instruments such as MITI demonstrate strong reliability, their application is resource-intensive and limits analysis to relatively small datasets. An automated, AI-based approach enables large-scale analysis of conversational features, including prosody, speech rate, and linguistic indicators of empathy and resistance, while providing objective and timely feedback to practitioners. By integrating natural language processing and machine learning techniques, the system can detect subtle interactional patterns, such as questioning strategies, reflection-to-directive ratios, and the occurrence of change talk. This approach supports individualized feedback and longitudinal monitoring of MI competence, enhances training across diverse healthcare contexts, and has the potential to improve patient outcomes through more consistent and effective clinical communication.

Applications:

Motivational interviewing (MI)
Medical training platform
AI in healthcare
Digital health & telemedicine
Integrative medicine

Advantages:

Analyzes linguistic markers of empathy or resistance
Data-driven, real-time feedback
Reflective of real-world clinical encounters
Personalized coaching and skill tracking
Efficient and scalable
Democratize high quality access
Improve patient outcomes

Artificial Intelligence Model for Prediction of Optimal Peptide Binding to Specific MHC Alleles

JianlingL@tla.arizona.edu — Wed, 22 Jul 2026 09:25:57 GMT

This technology is an artificial intelligence (AI) software platform that predicts which tumor-derived peptides are most likely to bind to a patient’s specific major histocompatibility complex (MHC) alleles. By combining tumor sequencing data with patient-specific MHC profiles, the model helps identify neoantigens for personalized cancer vaccine development. The model is designed to improve peptide selection accuracy across a broad range of alleles and tumor types, with the potential to enable precise immunotherapy and reduce the time needed to identify strong neoantigen candidates.

Background:
Personalized cancer vaccines are being studied as a result of tumor mutations that can produce neoantigens, potentially recognized by the immune system. A major challenge is identifying which neoantigens will bind well to a patient’s specific MHC alleles due to MHC molecules varying widely and having different binding preferences. Current prediction methods may not fully account for differences between MHC alleles and patient-specific tumor mutations, which can slow and increase the cost of vaccine development. This technology addresses this problem by using an AI model trained on large peptide binding datasets across many MHC alleles to improve the prediction of patient-specific neoantigens for personalized cancer vaccine development.

Applications:

Personalized cancer vaccines
Neoantigen identification for immunotherapy
Tumor sequencing analysis
Precision oncology software platforms
Clinical decision support for cancer treatment selection
Immunology and cancer research

Advantages:

Use of patient-specific tumor mutations and MHC alleles
Improve prediction accuracy compared to general peptide binding models
Applicable across many different MHC alleles
Reduce time and cost associated with experimental peptide screening

Event-Driven Multimodal Physiological Signal Analysis for Blood Pressure Trend Prediction

JianlingL@tla.arizona.edu — Wed, 22 Jul 2026 09:17:39 GMT

This technology is a blood pressure analytics software that predicts blood pressure trends by analyzing body signals only when meaningful physiological changes occur. Instead of constantly running predictions, it activates only during important events, which reduces noise and avoids unnecessary processing. By focusing on key moments, it can provide more accurate and relevant insights into a person’s blood pressure patterns. This approach makes monitoring more efficient, responsive, and better suited for real-time health management.

Background:
Current blood pressure monitoring systems often rely on continuous data collection and analysis, which can introduce noise, reduce accuracy, and require significant processing power. Existing solutions, such as wearable devices and remote patient monitoring platforms, typically track physiological signals nonstop, even when no meaningful changes are occurring. This can lead to inefficient data use, false alerts, and difficulty identifying truly important health events. This technology addresses these issues by focusing only on significant physiological changes, allowing for more targeted and relevant analysis. By shifting to an event-driven approach, it improves accuracy, reduces unnecessary data processing, and provides more meaningful insights compared to traditional continuous monitoring systems.

Applications:

Blood pressure analytics software
Cardiovascular disease management
Remote patient monitoring (RPM)
Digital health

Advantages:

Event-drive framework
Captures meaningful physiological events more effectively
Reduces noise and avoids unnecessary computation
Uses non-invasive optical technologies

Electrostatic Defrosting

vtippatents@vtip.org — Wed, 22 Jul 2026 08:08:04 GMT

THE CHALLENGE

Frost and ice accumulation create costly inefficiencies and safety risks for industries ranging from automotive and aerospace to energy and refrigeration. Businesses face higher fuel and power consumption when relying on conventional thermal defrosting systems, along with maintenance expenses from mechanical methods that can damage surfaces. Chemical de-icing solutions, while widely used, introduce environmental liabilities and potential regulatory challenges due to toxic runoff. These drawbacks not only increase operational costs but also undermine sustainability goals and system reliability. There is therefore a clear business need for innovative defrosting technologies that deliver energy efficiency, reduce environmental impact, and provide scalable, non-contact solutions adaptable across different industries.

OUR SOLUTION

Electrostatic Defrosting (EDF) is a technology designed to remove frost by applying a positive voltage to an electrode placed near a frosted surface. This process leverages the natural charge separation within frost where temperature gradients cause the warmer frost surface to accumulate negative charge. This technology uniquely exploits the inherent charge separation in frost and ice, a mechanism not utilized by conventional methods. Unlike traditional approaches that rely on energy-intensive heat, potentially toxic chemicals, or complex mechanical forces, EDF offers a non-contact, rapid, and environmentally friendly solution. Supported by experimental proof-of-concept and detailed numerical modeling, it achieves significant frost removal, up to 75% on superhydrophobic surfaces. This makes it a sustainable and efficient alternative with broad potential applications in sectors like automotive, aerospace, and energy.

Figure: Electrostatic de-icing (EDI) technology takes advantage of the inherent differences in charge between frost and ice.

Advantages:

Energy-efficient and environmentally friendly
Non-contact and surface-safe
Fast frost removal with broad industry applicability

Potential Application:

Automotive windshield defrosting
Aircraft wing and drone surface de-icing
Heat exchanger and energy system frost removal
Critical sensor and infrastructure de-icing

Novel Implant Device for Plantar Plate Repair

vtippatents@vtip.org — Wed, 22 Jul 2026 07:15:50 GMT

THE CHALLENGE

A major challenge in the current market for plantar plate repair is the lack of a reliable, minimally invasive solution that avoids serious postoperative complications while maintaining surgical effectiveness. Existing techniques often require suturing the plantar plate directly to the phalanx bone, which can lead to a problematic "suture sawing effect", a condition where repeated pressure and movement cause the sutures to erode the bone increasing the risk of fractures and avascular necrosis. These complications not only compromise patient outcomes but also drive-up healthcare costs due to extended recovery times, revision surgeries, and long-term disability. Additionally, many of these procedures rely on invasive methods such as metatarsal osteotomy, which adds further surgical risk and reduces overall patient satisfaction. This presents a significant opportunity for innovation in the orthopedic device market, where safer, less invasive, and mechanically sound alternatives are in high demand.

OUR SOLUTION

We offer a novel two-part implant made from biocompatible PEEK that offers a safer and less invasive approach to plantar plate repair, addressing a major gap in the orthopedic market. Designed to snap together securely within a drilled hole in the phalanx bone, the implant eliminates direct contact between surgical sutures and bone by incorporating a built-in tiedown bar. This innovation prevents the common and costly complication known as the suture sawing effect, which can lead to bone fractures and avascular necrosis. Unlike traditional methods that often require complex procedures like metatarsal osteotomy, our implant streamlines the surgery by allowing dorsal and plantar insertion and adjustable fixation. This not only improves patient outcomes and reduces recovery time but also positions the device as a highly differentiated and commercially viable product in the growing market for orthopedic surgical solutions.

Figure: Left: CAD model of implant. Right: 3D-printed models made of Rigid4000 FormLabs resin

Advantages:

Eliminates suture-to-bone contact to prevent fractures and avascular necrosis
Avoids the need for invasive metatarsal osteotomy
Adjustable snap-fit design accommodates variable anatomies
Simplifies and shortens surgical procedure

Potential Application:

Plantar plate tear repair
Foot joint stabilization surgery
Orthopedic forefoot reconstruction
Sports-related toe injury treatment

mmHeat: Autonomous Millimeter-Wave Robotic System for Non-Contact 3D Thermal Conductivity Mapping of Building Envelopes

techtransfer@buffalo.edu — Wed, 22 Jul 2026 04:25:50 GMT

An autonomous robotic inspection system that uses millimeter wave radar to generate non contact, volumetric 3D thermal conductivity maps of opaque building materials.

BACKGROUND:

Buildings lose approximately 25 to 30% of heating and cooling energy through hidden envelope defects such as moisture infiltration, insulation voids, and thermal bridges. Existing inspection technologies, including infrared cameras, lidar, and contact-based heat flux meters, are limited to surface measurements or require invasive, time consuming testing. As a result, there is currently no autonomous, non-contact method capable of mapping subsurface thermal conductivity throughout opaque building structures.

TECHNOLOGY OVERVIEW:

mmHeat is an autonomous robotic inspection system that combines a 77 to 81 GHz millimeter wave radar with a precision robotic scanning platform to generate volumetric 3D thermal conductivity maps of opaque building materials. The system integrates a sensor motion co design framework that constructs a synthetic aperture through controlled robotic movement, an adaptive coarse to fine scanning strategy that rapidly identifies regions requiring detailed inspection, and a physics-based perception pipeline that reconstructs refractive index distributions and converts them into thermal conductivity measurements. The platform produces millimeter scale spatial resolution, requires only minimal material calibration, processes data on standard computing hardware, and is compatible with multiple robotic platforms, including Cartesian gantries and robotic manipulators

https://buffalo.technologypublisher.com/files/sites/7783_in-part_image.jpg

Andrey Popov, https://stock.adobe.com/uk/images/1912618381, stock.adobe.com

ADVANTAGES:

The technology provides the first non-contact robotic solution for volumetric thermal conductivity mapping through opaque building materials. It significantly reduces inspection time through adaptive scanning while delivering millimeter scale resolution that exceeds conventional ground penetrating radar and infrared thermography. The physics-based approach requires minimal calibration, generalizes across new material types without retraining, and detects hidden defects such as wet insulation, thermal bridges, and insulation voids that are invisible to existing robot mounted inspection systems. The compact sensor package can also be integrated into a wide variety of robotic inspection platforms.

APPLICATIONS:

Potential applications include autonomous building energy audits, robotic inspection of bridges, tunnels, dams, and other infrastructure, non-destructive quality control for insulation manufacturers, insurance assessments following water damage, historic building preservation, industrial nondestructive testing of composite materials, cold storage facility inspection, and digital twin platforms for building thermal performance analytics.

INTELLECTUAL PROPERTY SUMMARY:

Patent pending.

STAGE OF DEVELOPMENT

TRL 5.

LICENSING STATUS:

Available for licensing or collaboration.

XR Platform for Personalized Neurological Rehabilitation and Diagnostics (Case No. 2025-99L)

marketing@tdg.ucla.edu — Tue, 21 Jul 2026 17:03:42 GMT

Summary:

UCLA researchers in the Department of Neurology have developed a novel AI-driven mixed reality headset for precision stroke rehabilitation.

Background:

Stroke is a leading cause of long-term motor disability, often requiring prolonged and intensive rehabilitation to restore motor function. Current methods for evaluating motor impairments rely heavily on subjective clinical assessments, introducing inter-operator variability and human error. Consequently, therapeutic interventions are typically generalized instead of tailored to a patient’s individual deficits, which may reduce efficacy of clinical outcome. In addition, long-term intensive therapy is frequently confined to specialized clinical environments, reducing accessibility, long-term adherence, and recovery potential. As a result, there remains a significant unmet need for a scalable, data-driven rehabilitation approach capable of objective motor assessment and personalized therapy across diverse healthcare settings.

Innovation:

Researchers at UCLA have developed an AI-driven mixed reality (MR) platform designed to facilitate stroke rehabilitation. Deployed via an MR headset, the system utilizes markerless 3D kinematic analysis and real-time motion capture to quantify motor impairments through embedded cameras. The system removes the need for physical markers through its real-time analysis of movement quality. Unlike existing rehabilitation methods that utilize scripted exercises, this technology analyzes patient movement deficits, quantifying impairments such as weakness, synergies, loss of dexterity, and compensatory movements, through AI algorithms trained on clinical kinematic datasets. The system’s algorithms are trained on extensive stroke and healthy control datasets, enabling swift classification and generation of individualized rehabilitation plans. Based on real-time patient performance, the MR environment provides immediate visual, auditory, and haptic cues to reinforce correct movement patterns and promote neuroplasticity. By replacing subjective assessments with data-driven analysis, this technology can reduce inter-rater variability while improving treatment personalization. Crucially, the system’s portability enables deployment across clinical, home, and tele-rehabilitation settings, significantly enhancing accessibility to intensive stroke rehabilitation. By integrating adaptive AI with real-time kinematic data, this platform represents a scalable approach to modernizing stroke rehabilitation.

Potential Applications:

● Stroke rehabilitation
● Broader neurological rehabilitation
● Movement disorder intervention
● Tele-health & remote monitoring
● Orthopedic medicine
● Physical & occupational therapy
● Sports medicine
● Clinical trials

Advantages:

●   Data-driven
●   Adaptive AI trained on extensive stroke and healthy datasets
●   Closed-loop system
●   Personalized therapy
●   Accessibility
●   Enhanced neuroplasticity
●   No physical markers
● Closed-loop system

Development-To-Date:

Initial conception; currently pitching to VCs

Reference:

UCLA Case No. 2025-99L

Lead Inventor:

Ahmet Arac, Faculty in the Department of Neurology

Intraocular Fiber for Ophthalmic Tissue Classification (Case No. 2026-023)

marketing@tdg.ucla.edu — Tue, 21 Jul 2026 14:34:43 GMT

Summary:

UCLA researchers have developed an intraocular OCT-based fiber that provides real-time tissue classification during eye surgery, improving safety and precision for both manual and robotic procedures.

Background:

Eye surgeries—particularly those involving the back of the eye—demand extraordinary precision. Surgeons operate within microscale, multilayered tissues where even the slightest error can result in severe complications or permanent vision loss. While intraoperative imaging tools such as optical coherence tomography (OCT) have advanced visualization, they remain inherently limited. During surgery, OCT provides only a narrow field of view, its images can be obscured by instruments, and it offers no immediate feedback about the specific tissue the surgeon is contacting.

This absence of real-time, localized information makes it challenging to accurately distinguish between delicate ocular tissues during a live procedure. There is a critical unmet need for a technology that extends beyond conventional imaging—one that can instantly identify and differentiate eye tissues in real time. Such a capability would dramatically enhance surgical safety, precision, and efficiency, empowering both manual and robotic-assisted ophthalmic procedures and improving patient outcome.

Innovation:

UCLA researchers have developed a technology that transforms OCT from a simple imaging tool into a real-time tissue classification system. Instead of simply showing structural images, the system interprets signals from OCT scans to recognize tissues such as the sclera, iris, lens, posterior capsule, and retina. This classification occurs in milliseconds, providing surgeons immediate, actionable feedback during surgery. The technology has demonstrated 98% accuracy, with a distance prediction root mean square error of 5.06 µm.

The technology can be integrated within robotic surgical platforms or handheld tools, and feedback can be delivered through visual overlays, sound cues, or gentle tactile alerts. By confirming in real time which tissue the surgeon is interacting with, the system reduces uncertainty and enables safer, more precise surgical maneuvers. Because the design is flexible and software-driven, it can be trained to recognize additional tissue types over time. Importantly, it builds on existing OCT hardware already used in ophthalmology, extending its value without requiring entirely new equipment. This is the first known approach to repurpose intraocular OCT signals for real-time tissue classification, offering a practical path toward intelligent, feedback-driven eye surgery with improved outcomes.

Potential Applications:

•   Retinal surgery – safer subretinal injections and repairs
•   Cataract surgery – guidance for capsule polishing and lens work
•   Glaucoma/iris surgery – precise tissue manipulation
•   Robotic-assisted surgery – smarter, feedback-driven platforms
•   Handheld tools – real-time support in manual operations
•   Surgical training – instant feedback for education

Advantages:

•   Real-time tissue recognition in milliseconds
•   Extends existing OCT systems
•   Improves safety of delicate eye surgery
•   Works with robotic or handheld tools
•   Easily retrained for new tissue types
•   Multiple feedback options (visual, audio, haptic)
•   First to use OCT for tissue classification

State of Development:

Initial description and first successful demonstration have been completed.

Reference:

UCLA Case No. 2026-023

Lead Inventors:

Tsu-Chin Tsao, Distinguished Professor, Mechanical Engineering; Aya Barzelay Wollman, Assistant Professor, Jules Stein Institute

Copyright: Bot-Proof Online Surveys (Case No. 2026-192)

marketing@tdg.ucla.edu — Tue, 21 Jul 2026 13:35:52 GMT

Summary:

UCLA researchers have developed a webcam-based eye-tracking tool for Qualtrics online surveys that verifies human presence and participation during survey completion, while also allowing researchers to collect eye-tracking data without specialized hardware.

Background: Online survey research is facing growing data integrity problems as AI agents become more capable of completing surveys in ways that look human. Existing safeguards such as CAPTCHAs and attention checks can be bypassed and do not reliably determine human presence and engagement. As AI-based browsing and response tools become readily accessible, there is a growing need for stronger methods to protect online research integrity from bot-generated responses. At the same time, researchers also seek improved tools for understanding how participants visually engage with survey content. Because of this, there is a need for a survey-integrated system that can both verify respondent presence and collect eye-tracking data using standard consumer hardware.

Innovation: UCLA researchers have developed a tool that embeds webcam-based eye tracking directly into Qualtrics online surveys. Using a standard computer camera and machine learning, the system estimates eye-gaze location in real time and provides a form of human verification based on physical presence during survey completion. The tool is designed as a plug-and-play Qualtrics template, allowing researchers to launch eye-tracking-enabled surveys without needing to write code. The innovation operates through a persistent tracking layer integrated into the survey environment, configurable embedded-data settings, and a client-side buffering approach that captures gaze coordinates and timestamps during a session before transmitting the data upon page submission. By combining human verification with behavioral data collection, the technology strengthens survey integrity while also providing researchers a practical method to study respondent attention and engagement.

Potential Applications:

●   Online survey research
●   Human verification in digital studies
●   Bot detection in behavioral research
●   Eye-tracking in Qualtrics surveys
●   Attention and engagement analysis
●   Market research and consumer behavior studies
●   Remote academic and clinical research data collection
●   Surveillance infrastructure

Advantages:

●   Verifies that a respondent is physically present
●   Provides stronger protection against AI bot survey completion
●   Utilizes a standard webcam rather than specialized eye-tracking hardware
●   Integrates directly into Qualtrics
●   Allows researchers to collect eye-tracking data without coding
●   Separates configuration from code for easier use
●   Supports continuous recording across survey blocks
●   Enables both survey security and behavioral data collection in one system

State of Development:

First description of complete invention.

Related Papers:

●   https://www.pnas.org/doi/10.1073/pnas.2518075122https://roundtable.ai/https://repdata.com/WebEyeTrack
●   https://arxiv.org/abs/2508.19544
●   https://www.cambridge.org/core/journals/judgment-and-decisionmaking/article/webcambased-online-eyetracking-forbehavioralresearch/B726E77B68A76577F9BC6BB8F1EBC6E4
●   https://link.springer.com/article/10.3758/s13428-017-0913-7

Reference:

UCLA Case No. 2026-192

Lead Inventor:

Ian Krajbich - UCLA Psychology Department

Abrasion-Resistant and Waterproof Vision-Based Tactile Sensor with Situational Awareness (Case No. 2026-091)

marketing@tdg.ucla.edu — Tue, 21 Jul 2026 10:49:26 GMT

Summary:

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a waterproof and durable vision-based tactile sensor that can interrupt and replan action sequences when changes occur in the observation space. This design improves tactile sensing accuracy and robustness for robotic systems operating in harsh, high-wear, underwater, or contact-rich environments.

Background:

Vision-based tactile sensors are increasingly used in robotics because they are relatively low-cost, easy to manufacture, and adaptable across a wide range of form factors and manipulation tasks. These sensors typically include a deformable contact surface, an internal camera, and a light source. When the sensor contacts an object, the deformable surface changes shape, and the camera captures visual changes that can be analyzed to estimate contact forces, deformation, shear, or other tactile information. Despite their promise, many vision-based tactile sensors remain limited by durability. The deformable surfaces are often made from elastomeric materials that can tear, cut, abrade, or delaminate after repeated use. Replaceable contact surfaces can address wear, but they may reduce sensing accuracy or require repeated recalibration. Another challenge for these sensors is detecting and responding to tactile events. Diffusion policies are a powerful approach for adjusting action sequences in response to tactile events, but traditional diffusion policies operate with fixed action execution horizons, which make them incapable of responding to changes in the observational space during a fixed inference interval. A more robust and responsive tactile sensing architecture is needed to enable reliable robotic manipulation in challenging real-world environments.

Innovation:

UCLA researchers have developed a vision-based tactile sensor architecture that protects the deformable surface from mechanical damage and enables action sequences to be rapidly interrupted and replanned when changes are detected in the observation space. The sensor can be tuned for abrasion resistance, cut resistance, friction, shear sensitivity, electrostatic properties, or other task-specific mechanical characteristics. The technology is particularly well suited for robotic systems that must interact with abrasive, sharp, wet, or hard-to-access environments. In one implementation, the sensor is being developed as a robust underwater tactile sensor for use in robotic manipulation. The architecture can also be adapted to different form factors, including fingertip-style sensors, larger sensing surfaces, or multi-camera configurations, making it broadly applicable across robotic platforms.

Potential Applications:

● Robotic tactile sensing
● Dexterous robotic manipulation
● In-hand manipulation
● Pick-and-place robotics
● Contact-rich industrial automation
● Underwater remotely operated vehicles and manipulators
● Marine robotics and subsea inspection
● “Lights-out” manufacturing environments
● Handling of sharp, abrasive, or irregular objects
● Field-deployable robotic systems
● Search-and-rescue robotics
● Defense and naval robotic systems
● Warehouse and logistics automation
● Human-safe robotic grippers
● Robotic end-effectors requiring durable tactile feedback

Advantages:

● Improves durability of vision-based tactile sensors
● Recognizes and responds to temporally sparse tactile events
● Protects deformable sensing surfaces from abrasion, cutting, and wear
● Enables customizable tactile response through fabric pattern, texture, and material selection
● Supports sensing in harsh, high-cycle, underwater, or hard-to-maintain environments
● May reduce the need for frequent replacement or recalibration of sensing surfaces
● Compatible with multiple form factors and robotic end-effector designs
● Can be adapted for directional sensitivity, shear detection, friction tuning, or task-specific surface properties
● Enables tactile sensing for robotic handling of objects that may be unsafe or impractical for humans to manipulate directly

Development-To-Date:

First successful demonstration of the invention.

Reference:

UCLA Case No. 2026-091

Lead Inventors:

Benjamin Forbes, Evan Harber, Veronica Santos

Novel Antifungal Agents with Dual Mechanism of Action

techtransfer@buffalo.edu — Tue, 21 Jul 2026 09:46:33 GMT

With a clear and growing unmet need, a novel mechanism of action, and demonstrated in vitro superiority over current standard-of-care agents, these novel boron-based antifungal agents represent a compelling early-stage opportunity with significant commercial and public health relevance.

Background:

Invasive fungal infections caused by opportunistic pathogens such as Cryptococcus neoformans, Candida albicans, and the rapidly emerging Candidozyma auris represent a severe and escalating threat to global public health, particularly among immunocompromised populations — including those undergoing cancer therapy, organ transplantation, or HIV treatment.

The clinical problem is compounded by a limited arsenal of approved antifungal classes, most notably azoles like fluconazole. However, the efficacy of these existing treatments is increasingly compromised by the widespread emergence of multidrug-resistant fungal strains, significant host toxicity, and limited fungicidal activity. Pathogens such as C. auris frequently exhibit intrinsic resistance to multiple standard-of-care drugs, rendering conventional therapies ineffective and leading to high clinical mortality rates. Consequently, there is an urgent need to develop alternative therapeutic strategies that can overcome existing resistance profiles to provide safer and more effective treatments for life-threatening fungal diseases.

Technology Overview:

Researchers at the University at Buffalo have developed a novel class of boron-based compounds that function as highly effective antifungal agents by employing a dual mechanism of action: they operate similarly to the widely used drug fluconazole while also appearing to interfere with fungal mitochondrial metabolism. Compared to existing treatments, this approach is highly novel because it establishes a new class of antifungal drugs that demonstrates superior in vitro potency against major pathogens—specifically Cryptococcus neoformans, Candida albicans, and Candidozyma auris—often outperforming standard azole therapies. Ultimately, these boron-containing compounds provide a more potent, alternative therapeutic strategy for treating severe fungal infections.

https://buffalo.technologypublisher.com/files/sites/7772_inpart_image.jpg

Please note, header image is purely illustrative. Source: skeeze, pixabay, CC0.

Advantages:

Appear to be broad spectrum as anti-fungal agents
Novel mechanism(s) of action reduces likelihood of resistance
Higher potency compared to fluconazole

Applications:

Invasive/systemic fungal infections
Resistant and refractory fungal disease
Potential for clinical applications beyond fungal infections

Intellectual Property Summary:

Patent pending

Stage of Development:

In vitro

Licensing Status

Available for licensing or collaboration

TIDE: Telemetry-Informed Delay Testing for Silent Data Corruption

ip@skysonginnovations.com — Tue, 21 Jul 2026 08:08:31 GMT

Invention Description

Silent data corruptions (SDCs) are particularly difficult to detect because they produce incorrect computational results without generating warnings or system errors. A primary cause of SDCs is voltage droop, a transient reduction in supply voltage that can induce timing violations along critical signal paths. Conventional testing techniques, including static timing analysis and delay-based testing, rely on fixed operating margins and often fail to capture the dynamic voltage fluctuations encountered under realistic workloads, allowing many droop-sensitive paths to escape detection. Although in-field monitoring tools provide additional coverage, manufacturing testing remains the primary opportunity to identify these vulnerabilities. Accordingly, there is a growing need for testing methodologies that leverage telemetry data to identify droop-sensitive paths, improve SDC detection, and enhance the reliability of modern processors and system-on-chip (SoC) devices.

Researchers at Arizona State University have developed a novel methodology that leverages telemetry data to improve detection of silent data corruptions caused by voltage droop in processors and SoC devices. Telemetry-Informed Delay Testing (TIDE) is an advanced testing methodology designed to enhance the reliability of semiconductor devices by identifying timing violations induced by voltage droop—an issue often missed by traditional testing methods. By integrating telemetry sensors that monitor real-time voltage fluctuations, TIDE correlates these signals with timing integrity results across three stages: traditional path delay testing, telemetry-informed path evaluation, and telemetry-aware delay testing. This approach targets droop-sensitive paths more effectively, enabling improved fault detection while remaining compatible with existing commercial semiconductor test flows with minimal disruption.

Potential Applications

Testing and validation of processors and system-on-chip (SoC) devices.
Semiconductor manufacturing quality assurance.
Reliability enhancement in advanced semiconductor technologies.
Licensing opportunities for semiconductor test equipment providers.
Integration in commercial semiconductor test flows for enhanced fault coverage.

Benefits and Advantages

Enhanced detection of silent data corruptions related to voltage droop.
Integration with existing commercial test flows requiring minimal modifications.
Improved targeting of droop-sensitive timing paths for focused testing.
Reduction in costly test escapes and increased device reliability.
Utilizes real-time telemetry data to inform and refine delay testing procedures.

For more information about this opportunity, please see

Sahoo et al - IEEE ITC - 2025

LLM-Aided In-Field Workload Generation for Detecting Silent Data Corruptions at Scale

ip@skysonginnovations.com — Tue, 21 Jul 2026 07:56:12 GMT

Invention Description

As semiconductor devices continue to increase in complexity, large-scale computing systems face growing risks of silent data corruptions (SDCs), which produce incorrect computational results without triggering conventional error detection mechanisms. Traditional post-manufacturing testing approaches are often costly, inefficient, and difficult to scale across large deployments. Recent advances in large language models (LLMs) enable the automated generation of targeted test workloads that exercise specific architectural and operational conditions. By generating workloads that induce stress conditions, such as voltage droops, LLM-based approaches can improve the detection of hidden SDCs under realistic operating environments while enhancing the scalability and effectiveness of processor reliability testing.

Researchers at Arizona State University have developed a methodology/framework that uses large LLMs to automatically generate test workloads for detecting hidden hardware errors, known as SDCs, in modern processors. By producing test programs that create stress conditions in critical processor components, the system improves the ability to uncover faults that traditional methods often miss. Unlike manual or random workload design, the approach is automated, adaptive, and scalable, making it suitable for use in both design validation and real-world deployment.

Potential Applications

Pre-silicon validation for processor design and manufacturing
Post-deployment monitoring of processors in cloud and high-performance computing
Chip design companies aiming to enhance reliability testing
Cloud service providers and data centers requiring robust error detection
Development of commercial tools for automated workload generation and testing

Benefits and Advantages

Automated generation of targeted test programs using LLMs
Higher detection accuracy for silent data corruptions
Scalable testing for large-scale computing systems
Feedback-driven refinement and reinforcement learning optimize workload synthesis
Applicable both before and after processor deployment
Reduces the number of test cases needed for reliable detection

For more information about this opportunity, please see

Domanski et al - IEEE ITS - 2025

Process for Oxidative Coupling of Nitroalkanes and Organoborons

cabrigo@usf.edu — Tue, 21 Jul 2026 06:26:12 GMT

Advantages

Eliminates hazardous, pyrophoric organometallic reagents and toxic, explosive azides for safer manufacturing
Runs safely in water under mild conditions, simplifying manufacturing workflows
Uses stable, affordable reagents to cut costs and enable broad substrate versatility
Speeds up production of key amine building blocks for drug discovery

Summary

α-Tertiary amines are essential building blocks for pharmaceuticals, agrochemicals, and specialty chemicals, forming the core of kinase inhibitors, antiretrovirals, and receptor antagonists. As drug discovery demands more novel chemical entities, the industry urgently needs efficient, scalable ways to synthesize these complex nitrogen frameworks. Without reliable production methods, medicinal chemistry advancement and new therapeutic development remain constrained.

This technology offers a streamlined, two step route to α-tertiary amines using stable organoborons instead of hazardous organometallic reagents. An oxidative radical coupling forms new carbon–carbon bonds, followed by zinc-mediated cleavage to deliver the final amine. Unlike traditional methods requiring air- and moisture-free conditions and toxic azide reagents, this process runs safely in water under mild conditions. The result is a modular, water compatible synthesis that simplifies manufacturing, reduces hazards, and expands access to complex amine frameworks.

Reaction scheme for α-tertiary amine synthesis via oxidative coupling of nitroalkanes and organoborons.

Desired Partnerships

License
Sponsored Research
Co-Development

Stretchable High-Power Batteries For Soft Robotics And Wearable Electronics

lbricha@upenn.edu — Mon, 20 Jul 2026 11:42:47 GMT

Stretchable batteries using sliding electrodes with high mechanical flexibility, capacity, and power performance.
Problem:
Soft robotics and stretchable electronics have widespread applications in medical devices, health monitoring, and human-machine interfaces. These devices require batteries to ensure portability, but they can often add bulk and rigidity. Current technologies employ component-level stretchability, where both electrodes and electrolytes are compliant. Developing these technologies require complex processing techniques, where component-level flexibility results in a trade-off between battery performance and stretchability. Thus, there is a need for durable, high performance stretchable batteries.
Solution:
The flexible metal-air batteries employ a sliding interface between the rigid electrodes and a highly stretchable hydrogel electrolyte. The hydrogel electrolyte conducts ion transfer between the electrodes and elongates in response to forces applied to the battery, while the electrodes retain their original shapes and slide freely on the interface. The batteries can withstand a variety of mechanical deformations while maintaining compliance and a high-power output.
Technology:
Stretchable batteries contain a sliding interface between rigid electrodes and a stretchable polymer hydrogel electrolyte. The electrodes retain their original shapes and slide between the electrolyte and the elastomeric enclosure, while the electrolyte facilitates ion transfer between the electrodes and can elongate in response to mechanical deformation. This system directly utilizes rigid commercial electrodes without additional processing. Consistent contact at the electrode-electrolyte interface optimizes the stretchable battery capacity and performance. The battery has been assessed to withstand stretching, twisting, and bending forces while consistently powering soft robot motors or sensor circuits.
Advantages:

Stretchable batteries have an energy density peak of 104 mWh cm−2, outperforming most flexible metal-air batteries
All the materials on stretchable battery electrodes contribute to the electrochemical reactions, maximizing the battery’s capacity and reducing cost
Stretchable batteries demonstrate mechanical compliance by withstanding physical deformations in soft robots
Stretchable batteries seamlessly integrate with soft robots’ onboard sensors and preserve their inherent compliance
Stretchable batteries have wide-ranging applications including wearable devices, medical devices, and other stretchable electronics

Stage of Development:

Bench Prototype

(A) Computer-Aided Design (CAD) schematic of the stretchable battery encased in an elastomeric enclosure. Rigid electrodes interact with a stretchable hydrogel electrolyte through a sliding interface. (B) Mechanical characterization of the stretchable battery. Sequential images demonstrate the stretchable battery powering three soft robotic motors at various stages: undeformed, at strain 𝜀 = 0.51, a bending angle = 180°, a twist angle of = 180°, and post-impact from a hammer over a period of 28 seconds (s).
Intellectual Property:

US Application US20250273771A1

Reference Media:

Shi, Y. et al., Adv. Funct. Materials, 2024 March 10; Vol. 34, Issue 28: 2314783

Desired Partnerships:

License
Co-development

Docket #24-10608

3D Dynamic Culture for Scarless Corneal Wound Healing

cabrigo@usf.edu — Mon, 20 Jul 2026 05:25:30 GMT

Advantages

Maintains high cell viability and stem cell characteristics by preventing hypoxic stress buildup.
Ensures efficient nutrient and oxygen delivery to the cells with continuous enhancement of secretome proteins.
Produces potent, consistent secretomes while suppressing harmful fibrotic and hypoxic activity.
Accelerates scarless tissue repair using a scalable, standardized manufacturing platform.

Summary

Regenerative medicine urgently needs standardized methods to manufacture therapeutic secretomes secreted by corneal stromal stem cells, yet current culture systems fall short. Traditional two-dimensional and static three-dimensional platforms cannot replicate natural physiological conditions, causing nutrient gradients, hypoxic cores, and cellular stress. These conditions reduce stem cell quality and stemness, producing inconsistent and low-efficacy secretomes and creating serious manufacturing bottlenecks that block clinical translation.

This modular 3D dynamic culture platform uses a cross-linked sodium alginate and collagen scaffold paired with a printed 3D holder and syringe pump that delivers controlled bidirectional media flow. The biomimetic scaffold offers a near neutral surface charge, visco elastic properties, and a porous structure that securely holds stem cells for their healthy growth and secretion of secretomes. This carefully controlled environment sustains high cell viability and preserves key stem cell markers, enabling standardized, reproducible production of stem cells and their therapeutic secretomes for consistent, scalable manufacturing.

Desired Partnerships

License
Sponsored Research
Co-Development

Superconducting Materials and Methods of Making the Same

innovation@unlv.edu — Fri, 17 Jul 2026 17:47:28 GMT

Title:

Superconducting Materials and Methods of Making the Same

Tech ID:

2021-001

Status:

Active

Category:

Physics, Materials Science

Executive Statement:

A novel synthesis method achieves room-temperature superconductivity in carbonaceous sulfur hydride materials under high pressure.

Description:

This technology presents a breakthrough in superconducting materials by developing a carbonaceous sulfur hydride system that exhibits superconductivity at 287 kelvin under pressures ranging from 140 to 275 gigapascals. Building on previous discoveries in hydrogen-rich materials, this invention enables superconductivity near room temperature, verified through zero resistance and magnetic susceptibility tests. The method includes chemical tuning within a ternary system to potentially reduce the operational pressures while preserving superconducting properties, promising significant advancements in energy storage, transmission, and quantum computing technologies.

Key Advantages:

Achieves superconductivity at near-room temperature (287 K)
Operates across a broad high-pressure range (140-275 GPa)
Confirmed superconducting state via multiple rigorous tests
Potential to chemically tune materials to lower pressure requirements
Enables more efficient energy storage and transmission

Problems Solved:

Overcomes the challenge of achieving room-temperature superconductivity
Reduces energy losses in power transfer and storage systems
Addresses limitations of operating superconductors at extremely low temperatures
Advances practical applications hindered by high-pressure requirements

Marketing Opportunity:

Energy sector—efficient power grids and energy storage
Quantum computing—improved qubit coherence and performance
Magnetic resonance imaging (MRI) and medical devices
Transportation—magnetic levitation and lossless power transfer
Advanced electronics requiring low-resistance materials

Inventors:

Ranga Dias
Ashkan Salamat

Intellectual Property:

U.S. Utility Patent 18/017,075, issued 9/23/2025
Foreign Patent 2023103673, issued 11/13/2025
U.S. Provisional Patent 63/058,324. filed 7/29/2020
U.S. Patent Cooperation Treaty PCT/US2021/042447, filed 7/20/2021
U.S. Patent Cooperation Treaty PCT/US2021/043785, filed 7/29/2021
Foreign Patent JP 2023-505698, filed 1/26/2023
Foreign Patent JP 2023-504215, filed 1/19/2023
U.S. Utility Patent 18/018,542, filed 1/27/2023
Foreign Patent CN202180050853.4, filed 2/17/2023
Foreign Patent 202180050788.5, filed 2/17/2023
Foreign Patent 2021339531, filed 7/29/2021
Foreign Patent RU 2023104315, filed 2/27/2023
Foreign Patent 202327012701, filed 2/24/2023
Foreign Patent KR 10-2023-70006361, filed 2/22/2023
Foreign Patent EP 21856942.4, filed 2/20/2023
Foreign Patent CA 3,189,728, filed 1/18/2023
Foreign Patent 2021311592, filed 2/9/2023
Foreign Patent 202327010505, filed 2/16/2023
Foreign Patent EP 21752446.1, filed 4/14/2023
Foreign Patent CA 20419P0003, filed 1/18/2023
Foreign Patent KR 10-2023-7005804, filed 2/17/2023
Foreign Patent RU 2023104315, filed 6/19/2025
Utility Patent 19/332,038, filed 9/17/2025

Alginate–Konjac Glucomannan–Calcium Sulfate (AKC) Bioink with Tunable Mechanical Properties for Enhanced 3D Bioprinting and Biocompatibility

innovation@unlv.edu — Fri, 17 Jul 2026 16:29:25 GMT

AKC bioink combines alginate from Lessonia nigrescens, Konjac Glucomannan, and calcium sulfate to form a biocompatible hydrogel for high-precision 3D bioprinting. Its slow-release CaSO₄ enables volumetric crosslinking, avoiding the surface-only gelation of traditional CaCl₂ systems. KGM improves viscosity, print fidelity, and layer stability, while tunable KGM and CaSO₄ levels allow control over stiffness and pore size. This approach produces uniform, reproducible constructs that maintain integrity and support healthy cell growth.

The Invention

The invention comprises a bioink blend that integrates alginate, KGM, and a controlled release source of calcium ions from calcium sulfate to produce a gel with tunable mechanical properties and enhanced print fidelity. The slow-release crosslinking mechanism allows for gradual gel formation, providing consistent structural support during and after bioprinting. Additionally, the inclusion of KGM enhances the bioink's print accuracy and layer-by-layer stability, creating a robust platform suitable for fabricating complex living tissue constructs.

Market Opportunity

The AKC bioink presents significant commercial potential in the expanding fields of regenerative medicine, tissue engineering, and personalized healthcare. Its capability for high-precision, injectable 3D bioprinting aligns with the growing demand for customizable, patient-specific therapies. Furthermore, AKC’s uniform gelation and enhanced biocompatibility position it as a valuable material for pharmaceutical research and drug testing platforms, where reliable, reproducible soft tissue models are essential. The versatility of its tunable mechanical properties also opens opportunities for applications across a range of tissue types, supporting market diversification.

Applications

●3D bioprinting of soft tissues for regenerative medicine and personalized therapeutic interventions.

●Creation of tissue models for drug discovery, toxicity testing, and biomedical research.

●Injectable scaffolds for minimally invasive in-situ tissue engineering procedures.

Key Benefits

§Uniform, controlled gelation facilitates consistent structural formation throughout the bioprinted tissue.

§Injectability and in-situ gelation capabilities expand application possibilities beyond standard printing methods.

§Enhanced biocompatibility and mechanical tunability support improved cell viability and application-specific customization.

Lead Researcher: Lina Nih

neuroscientist, vascular biologist, and biomedical engineer specializing in brain repair and regeneration following stroke and neurological injury. Her expertise spans neurovascular biology, regenerative medicine, biomaterials, drug delivery systems, stem cell therapies, and the development of innovative technologies for treating stroke, Alzheimer's disease, Parkinson's disease, traumatic brain injury, and vascular dementia.

Development and Intellectual Property Status

US Application 63/896,526, filed 10/9/2025

Multi-Compressor Vapor Compression for Water Distillation and Desalination

innovation@unlv.edu — Fri, 17 Jul 2026 14:43:36 GMT

This advanced desalination system uses mechanical vapor compression instead of direct heat to turn highly saline solutions into potable water, significantly reducing energy consumption compared to traditional methods.

The Invention

The invention comprises a novel desalination apparatus that integrates multiple mechanical compressors to compress water vapor generated from boiling salty solutions. This multi-compressor configuration enhances energy efficiency beyond that of existing mechanical vapor compression systems. The innovative approach enables the system to operate under conditions that handle extremely high-salinity inputs, where other distillation methods fail, thereby expanding the operational scope of water treatment technologies.

Market Opportunity

This technology offers significant commercial potential within the water treatment and purification sectors, particularly in regions facing water scarcity and reliance on saline or brackish sources. It presents opportunities for deployment in industrial settings requiring high-purity water and in desalination plants aiming to reduce operational energy costs. Additionally, the capability to process high-salinity solutions opens new markets in offshore and remote locations where conventional desalination is inefficient or impractical.

Applications

●Desalination plants treating seawater and brackish water for municipal and industrial supply.

●Industrial water purification processes requiring distilled or ultra-pure water.

●Remote and offshore installations where energy-efficient water treatment is critical.

Key Benefits

●Substantially reduced energy consumption through mechanical vapor compression.

●Capability to distill highly saline solutions, surpassing limitations of existing methods.

●Enhanced operational efficiency due to the use of multiple compressors.

Lead Inventor: Han-Jae Cho

Cho is a mechanical engineer who has expertise in soft matter physics and phase-change heat transfer, and constantly looks for ways to convert energy more efficiently. His lab explores the use of soft materials in creating new technologies to slow climate change.

Development and Intellectual Property Status

US Provisional Patent 63/823,451, filed 6/13/2025

Las Vegas Cardiff Public Safety Drone:. Police drone with mobile app to call a drone when confronted by an attacker

innovation@unlv.edu — Fri, 17 Jul 2026 14:30:06 GMT

Integrated technology solution composed of a police-controlled drone and a user-friendly mobile application.

The Invention

This invention pairs a police-operated drone system with a mobile app that allows victims of urban violence to immediately summon and direct drones to their location. Equipped with advanced lighting, high-resolution cameras, and real-time communication tools, the system deters attackers, assists law enforcement with rapid intervention, and records high-quality video evidence for judicial processes.

Market Opportunity

The Las Vegas Cardiff Public Safety Drone system addresses a critical need for enhanced urban security and rapid incident response. Driven by rising safety concerns in metropolitan areas, this technology presents substantial market potential for law enforcement, municipalities, and private security firms. Furthermore, its integrated mobile application for tourists and residents opens broad commercial opportunities in Smart City initiatives, public safety upgrades, and tech-driven crime prevention strategies.

Key Benefits

● Immediate notification and visual monitoring of incidents

● Real-time guidance to incident sites

● Legally admissible visual evidence to enhance prosecution of offenders

Applications

● Enhanced police surveillance and rapid response protocols

● Tourist precincts integration to improve visitor safety

● Smart City safety and security programs

Lead Inventor: Chris Papesh

Papesh has over 20 years of experience in developing and implementing programs, managing research grants and enterprise administrative systems, teaching, and providing service on the global national, local, state and regional level.

Development and Intellectual Property Status

US Provisional Patent 64/051,495, filed 4/28/2026

Tetrahydropyrimidine Lipids for mRNA delivery

innovation@unlv.edu — Fri, 17 Jul 2026 14:21:04 GMT

Title:

Tetrahydropyrimidine Lipids for mRNA Delivery

Tech ID:

2025-001

Status:

Active

Category:

Nucleic Acid Therapeutics, Biotechnology, and Drug Delivery Technology

Executive Statement:

Innovative THP ionizable lipids enhance the efficiency, stability, and safety of mRNA delivery for advanced therapies.

Description:

Tetrahydropyrimidine (THP) ionizable lipids are engineered molecules that form lipid nanoparticles (LNPs) to protect and deliver mRNA effectively into cells, enabling various mRNA-based treatments including vaccines, gene therapies, and cancer immunotherapies.

Key Advantages:

Superior delivery efficiency resulting in higher mRNA expression and better therapeutic outcomes
Enhanced stability protecting mRNA until target delivery
Biodegradability reducing potential toxicity for safer treatments
Higher efficacy demonstrated by significantly improved performance in preclinical studies compared to leading alternatives
Customizable structure allowing tailored solutions for diverse medical applications

Problems Solved:

Inadequate delivery efficiency of mRNA therapeutics
Instability and degradation of mRNA before reaching target cells
Toxicity concerns related to lipid-based delivery vehicles
Limited flexibility in design for specific therapeutic needs

Marketing Opportunity:

mRNA vaccines for infectious diseases such as COVID-19 and influenza
Gene therapy for genetic disorders through precise gene editing and protein replacement
Cancer immunotherapy via mRNA vaccines and CAR-T cell therapies targeting cancer cells
Regenerative medicine supporting tissue repair with growth factor mRNA delivery
Personalized medicine enabling customized mRNA treatments tailored to individual patients

Inventors:

Chandrabali Bhattacharya
Ivan Isaac

Intellectual Property:

U.S. Provisional Patent 63/684,835, filed 8/19/2024
U.S. Patent Cooperation Treaty PCT/US2025/042520, filed 9/19/2025
U.S. Patent Cooperation Treaty PCT/US2025/042520, filed 8/19/2025

A novel means to generate high pressure

innovation@unlv.edu — Fri, 17 Jul 2026 14:19:38 GMT

Title:

A novel means to generate high pressure

Tech ID:

2024-009

Status:

Active

Category:

High-Pressure Physics, Materials Science, and Spectroscopy

Executive Statement:

A new method to generate ultra-high pressures while improving sample accessibility through laser-drilled diamond culets and plastic flow in metallic gaskets.

Description:

This innovative technology enables the generation of pressures exceeding 1 GPa by compressing a blank metallic gasket, inducing plastic flow into a laser-drilled hole at the diamond culet tip. Unlike traditional methods that restrict sample access due to metallic gaskets and anvils, this approach pushes the sample out of the gasket plane, enhancing accessibility for experimental probes such as nuclear magnetic resonance (NMR). This technique provides a versatile and improved way to pressurize samples, reducing reliance on toxic materials and complicated gasket designs.

Key Advantages:

Improved access to pressurized samples for experimental probes like NMR and X-ray analysis.
Eliminates the need for toxic light metals such as beryllium.
Enables generation of pressures above 1 GPa with greater versatility.
Reduces complications from traditional metallic gasket and anvil friction constraints.
Can be adapted beyond diamond anvils to other pressure-generating platforms.

Problems Solved:

Overcomes limited sample accessibility caused by metallic gaskets and anvils.
Eliminates the skin effect and interference in RF or perpendicular detection methods.
Addresses safety issues related to the use of toxic light metals for pressure generation.
Provides a reliable and simpler way to generate very high pressures without split gaskets.

Marketing Opportunity:

High-pressure scientific research, including materials science and condensed matter physics.
Advanced nuclear magnetic resonance (NMR) experiments under extreme conditions.
Synchrotron and hard X-ray experiments requiring improved sample accessibility.
Development and testing of materials and chemicals under high pressure environments.
Industrial applications involving precise control of pressure for quality and safety testing.

Inventors:

Michael Pravica

Intellectual Property:

U.S. Provisional Patent 63/635,880, filed 4/18/2024
U.S. Patent Cooperation Treaty PCT/US2025/024360, filed 4/11/2025

Rotary impeller reactor for electrowinning of iron

innovation@unlv.edu — Fri, 17 Jul 2026 14:17:51 GMT

Title:

Rotary Impeller Reactor for Electrowinning of Iron

Tech ID:

2024-006

Status:

Active

Category:

Engineering & Manufacturing - Metallurgical Engineering / Sustainable Steel Production

Executive Statement:

A device that efficiently produces pure iron from iron ore using electrical power without relying on fossil fuels.

Description:

The rotary impeller reactor is designed to convert iron ore into pure iron through an electrowinning process powered by electricity, eliminating the need for fossil fuels. Its compact and optimized design allows for high steel output within a small footprint, making it a sustainable and space-efficient alternative for steel production.

Key Advantages:

Fossil fuel-free operation using electrical power
High efficiency in producing pure iron from ore
Compact design with a small device footprint
Optimized for large-scale steel production
Reduced environmental impact compared to traditional methods

Problems Solved:

Dependency on fossil fuels in steel manufacturing
Large spatial requirements of conventional steel production equipment
High carbon emissions associated with traditional iron extraction
Limited scalability of small footprint steel production technologies

Marketing Opportunity:

Green steel manufacturing plants
Sustainable industrial metal production
Electrowinning facilities for metal refining
Companies seeking low-emission steel production solutions
Environmental technology integrators in metallurgy

Inventors:

Han-Jae Cho

Intellectual Property:

U.S. Provisional Patent 63/649,268, filed 63/649,268
U.S. Patent Cooperation Treaty PCT/US2025/029865, filed 5/16/2025

Green Synthesis of Unsymmetrical Phosphorous Disulfides

innovation@unlv.edu — Fri, 17 Jul 2026 14:16:40 GMT

Title:

Green Synthesis of Unsymmetrical Phosphorous Disulfides

Tech ID:

2024-005

Status:

Active

Category:

Green Chemistry and Synthetic Organic Chemistry

Executive Statement:

A sustainable, mild, and additive-free method for synthesizing unsymmetrical phosphorous disulfides using renewable solvents.

Description:

This technology introduces a green synthetic method to produce unsymmetrical phosphorous disulfides under mild reaction conditions without using additives or harsh reagents, employing ethanol as a renewable solvent. This approach enables rapid and versatile access to important phosphorus disulfide compounds, which have applications across therapeutics and materials science.

Key Advantages:

Mild reaction conditions requiring no harsh reagents
No additives necessary, simplifying the process
Utilizes renewable solvent ethanol, enhancing sustainability
Rapid and versatile synthetic access to unsymmetrical phosphorous disulfides
Environmentally friendly umpolung approach

Problems Solved:

Limited existing methods for synthesizing unsymmetrical phosphorous disulfides
Use of harsh reagents and additives in traditional synthesis
Environmental concerns due to non-renewable solvents and reagents
Slow or inefficient production of functional phosphorus disulfides

Marketing Opportunity:

Pharmaceutical industry: development of anti-viral, anti-cancer, and anti-alcoholism drugs
Materials science: manufacturing of enhanced passenger car tires
Chemical synthesis: production of versatile phosphorus-containing intermediates
Green chemistry applications focusing on sustainable chemical manufacturing

Inventors:

Jun Yong Kang
Jeffery Ash

Intellectual Property:

U.S. Provisional Patent 63/657,529. filed 6/7/2024

New Synthetic Routes toward CBB3001 and Their Derivatives

innovation@unlv.edu — Fri, 17 Jul 2026 14:12:56 GMT

Title:

New Synthetic Routes toward CBB3001 and Their Derivatives

Tech ID:

2024-004

Status:

Active

Category:

Chemistry, Biochemistry, Pharmaceutical Development

Executive Statement:

Efficient synthetic methods for producing anti-cancer agents based on CBB3001 and its derivatives.

Description:

This technology introduces novel and optimized synthetic routes to create CBB3001 and its derivatives, compounds known for their potent anti-cancer properties. The new methods improve yield, reduce reaction steps, and enhance scalability, enabling more effective production of these therapeutic agents.

Key Advantages:

Improved synthesis efficiency with higher yields
Reduced complexity and number of reaction steps
Scalable processes suitable for industrial production
Enhanced purity and consistency of final compounds
Facilitates rapid development of diverse derivatives

Problems Solved:

Low yield and inefficiency in existing synthesis methods
Complicated and time-consuming production processes
Difficulty in scaling up production for commercial use
Inconsistent quality of anti-cancer agents

Marketing Opportunity:

Pharmaceutical manufacturing of anti-cancer drugs
Research and development of new oncology therapeutics
Biotech companies focusing on cancer treatment compounds
Contract manufacturing organizations for drug synthesis

Inventors:

Jun Yong Kang
Jeffrey Ash
Citlally Lopez

Intellectual Property:

U.S. Provisional Patent 63/644,458, filed 5/8/2024
U.S. Patent Cooperation Treaty PCT/US2025/027996, filed 5/6/2025

Modulation and Utility of DCAF10-associated CRL4 Ubiquitin Ligase Complexes Targeting Proteins for Proteolysis

innovation@unlv.edu — Fri, 17 Jul 2026 14:09:04 GMT

This technology utilizes the CRL4-DCAF10 ubiquitin ligase complex to target and tag specific proteins for proteasomal degradation. By using chemical inhibitors and engineered PROTAC molecules, the system recruits target proteins to catalyze their destruction and control cellular protein levels. This mechanism provides a powerful platform for drug discovery to treat diseases driven by abnormal protein accumulation or function.

The Invention

This invention identifies novel CRL4-DCAF10 ubiquitin ligase complexes that interact with SAM domain proteins. By developing specific chemical inhibitors and PROTACs, the system harnesses this mechanism to trigger targeted protein degradation, offering a therapeutic approach for diseases like cancer that are driven by abnormal protein expression.

Market Opportunity

Modulating CRL4-DCAF10 ubiquitin ligase complexes holds significant commercial and clinical value for biotech and pharma. By enabling PROTAC development for previously "undruggable" proteins, this technology expands drug discovery pipelines for cancer and other unmet medical needs. Its applications also extend to stem cell regulation and male fertility, further broadening its therapeutic potential.

Applications

●Treatment of cancers through selective protein degradation facilitated by CRL4-DCAF10 ubiquitin ligase modulation.

●Development of novel PROTAC-based drugs targeting diverse disease-relevant proteins.

●Regulation of stem cell biology and therapeutic approaches to male fertility disorders.

Key Benefits

●Enables targeted degradation of previously undruggable proteins through PROTAC technology.

●Offers new therapeutic strategies for cancer and other human diseases via modulation of protein stability.

●Supports regulation of stem cell function and male fertility, expanding potential clinical applications.

Inventor: Hui Zhang

Chemistry and Biochemistry

Development and Intellectual Property Status

US Application 63/810,317, Filed 5/22/2026

PCT/US2026/29437, Filed 5/22/2026

DynoGrips

innovation@unlv.edu — Fri, 17 Jul 2026 14:05:16 GMT

DynoGrip measures grip pressure during both static holds and dynamic swings using integrated sensing techniques. It delivers accurate, transferable data on grip forces, enabling objective analysis of performance. By revealing gaps between perceived and actual grip pressure, it helps golfers and instructors improve technique. Its portable design integrates easily into clubs without affecting natural motion.

The Invention

DynoGrip is an advanced diagnostic tool designed to accurately measure both static and dynamic grip pressure exerted by golfers during swings. Utilizing multiple engineering methods, the invention captures reliable and transferable data regarding hand pressure on golf grips. Its design emphasizes ease of installation, portability, and real-time feedback to assist golfers in understanding and refining their grip pressure throughout their golf strokes

Market Opportunity

The DynoGrip technology addresses a significant gap in the golf equipment market by providing precise measurement of grip pressure during stroke and swing activities. This technology holds strong commercial prospects within golf training facilities, coaching academies, and among professional and amateur golfers seeking performance optimization. Additionally, the device's portability and ease of use position it well for integration into sports technology product lines and golf simulation systems. There is potential for partnerships with golf equipment manufacturers to embed the technology directly into clubs and grips.

Applications

●Golf training and coaching to improve grip techniques for putters and full-swing clubs.

●Integration with golf simulation systems for enhanced performance analysis.

●Use by equipment manufacturers to develop smart grips with embedded sensing capabilities.

Key Benefits

●Provides quantifiable and reliable grip pressure data, eliminating subjective reliance on a golfer’s perception.

●Enhances learning and teaching methodologies by delivering measurable insights into grip performance.

●Portable and easy to install, enabling use in diverse training environments and situations.

Lead Inventor: Junghoon Lee

Development and Intellectual Property Status

US Application 63/868,806 filed 08/22/2025

Cooling System Utilizing CO2 Heat Pump Water Heaters and Absorption Chillers for Waste Heat Recovery in Data Center Cooling Systems

innovation@unlv.edu — Fri, 17 Jul 2026 14:00:58 GMT

An energy-efficient cooling system for data centers designed to capture discarded waste heat and recycle it as a reusable energy resource, drastically lowering operational costs and carbon footprints.

The Invention

Data centers require extensive cooling to handle massive device heat, but traditional chiller systems simply discard the resulting waste thermal energy. This invention introduces an efficient cooling system that captures and recovers this wasted heat. The technology introduces an advanced cooling system designed to capture the waste heat generated within data center cooling infrastructures. By reclaiming this energy, the system improves overall energy efficiency and reduces thermal energy loss.

Market Opportunity

The exponential growth of cloud computing, AI processing, and big data infrastructure has led to a massive surge in data center power consumption and heat generation worldwide. Cooling typically accounts for up to 40% of a data center’s total energy utilization. As regulatory bodies enforce stricter carbon emissions targets and Power Usage Effectiveness (PUE) metrics, data center operators are actively seeking sustainable infrastructure upgrades. This technology directly targets the multi-billion-dollar data center cooling market, offering a high-ROI solution for colocation facilities, enterprise data hubs, and hyperscale cloud providers.

Applications

●Integration into massive infrastructure setups to lower large-scale thermal footprints.

●Exporting recovered high-grade data center waste heat to local municipal grids or nearby commercial buildings.

●Providing sustainable, energy-efficient infrastructure as a premium feature for multi-tenant data clients.

Key Benefits

●Recovers and repurposes high volumes of waste heat that are traditionally lost to the environment.

●Drastically reduces electricity bills by decreasing the net power required to run primary chilling and facility heating systems.

●Lowers Power Usage Effectiveness (PUE) scores, helping facilities comply with modern green building standards and environmental regulations.

Lead Inventor: Heejin Cho

Area of expertise: Energy System Modeling and Optimization, Advanced Sensor and Control System, Distributed Energy Systems & Policy, Renewable Energy Systems, Heating, Ventilation, and Air-Conditioning (HVAC) Systems, Net Zero Energy/Carbon Buildings, Nuclear Ventilation and Cooling Systems

Development and Intellectual Property Status

US Application 63/843,786 filed 7/14/2025

GROUP ACTINIDE SEPARATION PROCESS (GRASP) FOR SUSTAINABLE NUCLEAR FUEL CYCLE

innovation@unlv.edu — Fri, 17 Jul 2026 13:48:21 GMT

GRASP is an innovative process designed to enhance the separation of actinides to promote a more sustainable nuclear fuel cycle.

The Invention

The Group Actinide Separation Process (GRASP) advances nuclear fuel cycle sustainability by improving the efficiency and selectivity of actinide separation. Developed at the bench prototype stage, this technology offers enhanced performance over existing methods, facilitating better resource utilization and reducing nuclear waste impact.

Market Opportunity

The global push for sustainable, low-carbon power has intensified the demand for efficient nuclear energy, yet the industry remains restricted by high-volume waste management challenges and the low efficiency of traditional fuel reprocessing. This breakthrough separation technology addresses these critical bottlenecks by delivering unprecedented selectivity and efficiency in isolating actinides from spent nuclear fuel. By overcoming the physical and chemical limitations of conventional reprocessing, this innovation opens lucrative commercial pathways within nuclear fuel recycling facilities, waste management operations, and advanced nuclear chemistry R&D. Positioned at the intersection of environmental sustainability and clean energy expansion, this technology offers a high-value, scalable solution to minimize radioactive footprints while securing a highly efficient, closed-loop fuel cycle for next-generation nuclear power

Key Benefits

●Improved efficiency in actinide separation

●Enhanced sustainability for nuclear fuel cycles

●Reduces nuclear waste and optimizes resource recovery

Lead Inventor: Artem Gelis

Dr. Gelis has a strong background and extensive experience in radiochemical separation techniques (solvent extraction, ion exchange) and actinide (Np, Pu, Am) solution chemistry. His expertise also includes radiochemical analytical methods (gamma-counting, LSC, alpha spectroscopy); electrochemistry, various spectroscopic techniques, kinetics and microfluidics.

Development and Intellectual Property Status

US Application 63/968,289 filed 1/26/2026

AI Agent for Video Analysis in Golf Performance and Coaching: Use Case; Optional Virtual Reality features; gaming scoring points option

innovation@unlv.edu — Fri, 17 Jul 2026 13:43:49 GMT

This is the first fully integrated AI-VR golf coach, combining biomechanical analysis, gamified scoring, and real-time video AI feedback. Developed in collaboration with academic and entertainment industry leaders, the system features a highly precise, immersive replica of the championship Wynn Golf Club course to deliver a premium, interactive training experience.

The Invention

The invention is a sophisticated virtual-reality platform that integrates AI-driven biomechanical coaching with an immersive golf simulation. It leverages cloud-based data lake architecture to process and deliver real-time feedback and personalized coaching. The integration of gamification elements and an interactive dashboard enhances user engagement, making the golf training experience both educational and entertaining.

Market Opportunity

This technology opens significant commercial prospects within sports training, virtual reality entertainment, and athletic performance optimization. Potential markets include golf training facilities, sports rehabilitation centers, gaming and simulation venues, as well as consumer applications for amateur and professional golfers. The system’s immersive and data-driven approach aligns with increasing demand for personalized, technology-enabled athletic coaching solutions.

Applications

●Golf performance training in both professional and recreational contexts.

●Sports science research and biomechanical assessment for athlete development.

●Immersive entertainment at resorts and golf simulation centers.

Key Benefits

●Real-time AI-driven biomechanical analysis and coaching enhance golf performance.

●Immersive virtual reality environment replicates a championship golf course for realistic practice.

●Gamified scoring and interactive dashboard increase user engagement and motivation.

Lead Inventor: Chris Papesh

Papesh has over 20 years of experience in Consulting, Public Health, Industry Management, Project Management and Higher Education, developing, implementing and managing programs, managing research grants and implementing enterprise administrative systems, teaching, and providing service on the global (United Nations, international corporations and nonprofits), national, local, state and regional level.

Development and Intellectual Property Status

US Application: 64/041,325, Filed 4/16/2026

To develop a serum-based assay for leaky gut-driven neuroinflammation.

innovation@unlv.edu — Fri, 17 Jul 2026 13:39:47 GMT

This novel, serum-based bioassay measures systemic inflammatory potential linked to intestinal permeability ("leaky gut"). Using cultured macrophages as biosensors, the assay detects inflammasome activation triggered by compromised gut barriers. The resulting signal serves as a predictive biomarker for early-stage neuroinflammation, particularly in IBD patients, enabling detection and intervention before clinical symptoms manifest.

The Invention

This specialized bioassay quantifies gut barrier dysfunction by measuring a serum-borne inflammatory signal. Utilizing the innate immune response of cultured macrophages, the assay detects and measures inflammasome activation triggered by the patient's serum. It is specifically tailored to predict neuroinflammation risk in IBD patients, identifying early-stage inflammatory markers to facilitate timely intervention strategies before clinical symptoms manifest.

Market Opportunity

This bioassay presents significant commercial potential within the healthcare diagnostics sector, particularly in gastroenterology and neurology. It offers a novel biomarker-based tool for early detection and risk assessment of neuroinflammation associated with intestinal permeability disorders. The technology could be integrated into clinical workflows for monitoring IBD patients, improving personalized treatment plans, and reducing progression to severe systemic inflammatory diseases. Additionally, pharmaceutical companies may utilize the assay in drug development to evaluate therapeutic efficacy in modulating gut-derived systemic inflammation.

Applications

●Provides a quantifiable and specific inflammatory biomarker for systemic inflammatory conditions.

●Monitoring gut-derived systemic inflammation in the context of neuroinflammatory disorders.

●Supporting pharmaceutical research and development targeting inflammation modulation therapies.

Key Benefits

●Enables early, predictive detection of neuroinflammation related to gut barrier dysfunction.

●Utilizes a non-invasive serum-based assay for convenient clinical application.

●Provides a quantifiable and specific inflammatory biomarker for systemic inflammatory conditions.

Lead Inventor: Prasun Guha

Cell signaling, Cancer metastasis, Crohn's diseases, Intestinal inflammation, Gut microbiome, Alzheimer's disease and age-related disorders, and Personalized Medicine.

Development and Intellectual Property Status

US Application 63/960,373 Filed 1/14/2026

US Application 63/960.929 Filed 1/15/2026

Development of Rapid Detection Tools for Candida auris Infections and Drug Resistance

innovation@unlv.edu — Fri, 17 Jul 2026 12:27:06 GMT

This technology delivers rapid, sequence-based detection of Candida auris (recently reclassified as Candidozyma auris) across both clinical and environmental samples, with simultaneous profiling of antifungal resistance. Unlike culture and organism-only PCR panels, it extends surveillance from the individual patient to the whole community through validated wastewater monitoring, giving hospitals and public health agencies earlier warning of this emerging multidrug-resistant threat.

The Invention

The invention combines molecular detection of C. auris with genomic identification of mutations linked to antifungal resistance in a single workflow. It resolves species-level presence and resistance-associated variants directly from diverse sample types, including clinical specimens and untreated wastewater.

Market Opportunity

The rise of multidrug-resistant Candida auris has created strong demand for rapid diagnostic and resistance detection tools. Hospitals, clinical laboratories, and public health agencies need faster testing solutions to control outbreaks, improve patient outcomes, and support antimicrobial stewardship efforts.

Applications

●Screening of patients and healthcare environments for Candida auris colonization

●Clinical diagnosis to assist in appropriate antifungal therapy selection

●Surveillance and outbreak management in hospitals and public health settings

Key Benefits

●Rapid and accurate detection of Candida auris directly from diverse sample sources

●Early identification of antifungal resistance mutations, facilitating targeted treatment

●Enhanced infection control through timely screening and monitoring in healthcare environments

Lead Inventor: Edwin Oh

A researcher with expertise in functional genomics, infectious diseases, clean water and wastewater initiatives, schizophrenia and autism research, addiction science, and precision medicine, focused on advancing innovative solutions to complex health and environmental challenges.

Development and Intellectual Property Status

US Application 63/823,068, Filed 6/13/2025

PCT/US26/32525, Filed 6/12/2026

Regeneration of batteries via useful hard x-ray photochemistry

innovation@unlv.edu — Fri, 17 Jul 2026 12:23:57 GMT

This technology restores degraded battery electrodes by removing contamination that reduces performance. The regeneration process cleans anode and cathode surfaces, recovering function and extending battery life. It reduces the need for replacement, lowers environmental impact, and supports more sustainable battery lifecycle management across various battery types.

The Invention

This invention relates to a method for restoring the functionality of battery anode and cathode surfaces, which become contaminated and lose performance after repeated charge-discharge cycles. Instead of replacing spent batteries, this technology facilitates the regeneration of contaminated electrodes, thereby extending battery life and reducing waste.

Market Opportunity

The global battery technology market represents a highly lucrative, high-growth opportunity projected to expand from USD 95.7 billion to USD 136.6 billion by 2027 at a steady CAGR of 7.4%. The transportation vertical dominates market share with electric and hybrid vehicles serving as the primary growth engine, while the lithium-ion battery segment leads as the fastest-growing technology with a remarkable CAGR of 10.9%. Marketing efforts can position new solutions against core industry drivers, which include surging global demand for electric vehicles , rapid battery integration across the renewable energy sector , and widespread automation/smart electronic advancements. Crucially, the market landscape is being shaped through targeted product launches, partnerships, and strategic contracts , opening up ideal entry points for cutting-edge alternatives to capture market share from top-tier, star-rated incumbents

Applications

●Electric vehicle battery maintenance and refurbishment to improve cost-efficiency and resource utilization.

●Portable electronic devices requiring frequent battery replacements or recycling solutions.

●Energy storage systems aiming for sustainable lifecycle management and reduced material consumption.

Key Benefits

●Extends battery lifespan by effectively regenerating contaminant-affected anode and cathode surfaces.

●Reduces dependence on scarce and costly metals through enhanced recycling and reuse of batteries.

●Contributes to environmental sustainability by minimizing battery disposal and landfill waste.

Lead Inventor: Michael Pravica

Explosives, High Pressure Science, Raman, Infrared, Nuclear Magnetic Resonance and X-ray Spectroscopies, Accelerator Physics

Development and Intellectual Property Status

US Application 63/885,776, Filed 9/22/2025
US Application 64/096,190, Filed 6/22/2026

Virtual Reality (VR) Training System for CPR

lbricha@upenn.edu — Fri, 17 Jul 2026 11:54:35 GMT

A suite of VR modules for greatly enhanced training of individuals in the areas of emergency medicine including resuscitation.
Problem:
Annually in the US, over 350,000 people suffer from a sudden cardiac arrest (SCA) event, with a survival rate of just 10%. Once a victim suffers an SCA, with each passing minute, the rate of survival decreases by a startling 10%. It is known that CPR administered by a bystander can double the chance of survival; however, only three out of ten victims will receive this life-saving intervention. Compounding this, it has been shown that bystanders do not intervene due to either lack of knowledge or lack of confidence in their ability to perform CPR when needed.
Solution:
Researchers at Penn's Center for Resuscitation Science (CRS) have enhanced the standard CPR training by utilizing VR to more accurately simulate an emergency response environment. The VR application creates a scenario in which a layperson views a crowded city scape and is able to walk around the virtual environment when they encounter a simulated victim suffer an SCA and fall to the ground. The trainee is then able to interact with other simulated bystanders to direct them to call 911 and retrieve an AED, at which point the trainee can also perform CPR on the simulated victim. The VR environment is supplemented with a physical resuscitation mannequin to allow for a multi-sensory experience (audio, visual, tactile). Sensors are used to allow the trainee to walk through this VR scene as well as to determine the technical success of their resuscitations on the mannequin.

The use of VR in training is not new and the medical field has been an early adopter of the technology. Additionally, there exist other VR CPR training initiatives in development or early market launch, however these generally use pseudo-virtual reality programs on less dynamic platforms such as computer-programmed environments. Though these platforms allow the user to interact with simulated computer-based programs, they lack key attributes such as the actual trainee response, emotional components, as well as the physical hands-on interaction. This issue persists when considering the currently available CPR courses where trainings take place in a classroom setting with a mannequin, devoid of the actual stress and emotion of a real SCA.
Advantages:

Realistic scenarios in a safe, controlled area
Improves retention and recall
Simplifies complex problems/situations
Suitable for different learning styles
Active rather than passive experience
Suited to all types of learning styles

Stage of Development:

Beta versions complete and under revision
Observational study of bystander response planned
Additional grant funding requests have been submitted
Draft of other emergency response systems created

Intellectual Property:

Desired partnerships:

Seeking industry collaboration to further the development of the beta applications, create new VR medical training applications in identified areas of need and take them to market.

Applications:

Pediatric basic life support
Advanced life support
First aid
Heimlich maneuver
Mass casualty

Docket # 17-8014

Greatly Enhanced Mixing using Coplanar Sweeping Jets

JianlingL@tla.arizona.edu — Fri, 17 Jul 2026 10:31:20 GMT

This technology involves the use of sweeping jets for the improved mixing of fluids. By incorporating planar arrays of sweeping jet actuators into mixing devices, this technology significantly increases the spreading rate of turbulent jets. This increased spreading rate decreases mixing time and enables the use of devices of shorter length. Thus, this technology has great potential for optimizing technical devices where fast mixing in limited space is required.

Background:
The mixing of fluids is highly relevant to the operation of devices like combustors and reactors, in which components must be mixed in a controlled way to facilitate a chemical reaction. Turbulent jets are commonly used in gas turbines and chemical reactors. Generally, planar turbulent jets have a spreading rate of about 0.1. This technology enhances mixing in turbulent jets, increasing spreading rate to between 0.4 and 0.5. This increased spreading rate enables faster mixing while requiring less physical space.

Applications:

Aerospace
Energy
Gas Turbine Combustors
Chemical Reactors

Advantages:

Increased spreading rate
Faster mixing
Smaller devices

Characterization of novel pan anti-HLA antibodies that block LILR inhibitory receptors and activate anti-tumor immunity

nihott@nih.gov — Thu, 16 Jul 2026 14:15:57 GMT

Cancer immunotherapy has transformed treatment for some patients, but many tumors still do not respond well to current options, including checkpoint inhibitors. Researchers at NIAID’s Laboratory of Immune System Biology (LISB) have developed new antibodies designed to help the immune system fight tumors. These lab-made antibodies, called pan-anti-HLA monoclonal antibodies, block signals that can limit immune cell activity.

These signals are part of a pathway that regulates immune responses. In this pathway, inhibitory receptors in the leukocyte immunoglobulin-like receptor (LILR) family, found on many immune cells like natural killer (NK) cells and T cells, act like a brake when they interact with molecules called MHC-I. The antibodies are designed to block this interaction and release that brake. Earlier studies showed that antibodies targeting this interaction could activate both innate immunity, the body’s first line of defense, and adaptive immunity, the part of the immune system that builds more targeted responses and immune memory.

The new pan anti-HLA antibodies 3C10 and 15B1 block LILR interactions by binding to a different site on MHC-I than previously developed antibodies DX17 and W6/32. They also bind more than 50 times better and activate human NK and T cells for tumor control. To support development of next-generation checkpoint therapies, researchers will further evaluate the 3C10 and 15B1 antibodies in animal and tissue-based models.

Data Augmentation Method for Increasing Biological Diversity in Biomedical Image Datasets

JianlingL@tla.arizona.edu — Thu, 16 Jul 2026 11:10:24 GMT

This invention is a data augmentation method to enhance a biomedical imaging dataset used for deep learning applications. The approach involves using animal models of a disease combined with an unpaired domain translation framework to convert animal data to the human domain. The method is novel and valuable in that it increases biological diversity in the dataset, overcoming a fundamental barrier in developing deep learning models for biomedical imaging applications.

Background:
One key barrier to applying deep learning to biological datasets is data scarcity. This fundamental challenge is mainly relevant in research involving genetically constrained organisms, organelles, specialized cell types, and biological cycles and pathways. This data augmentation method adds biological diversity to a dataset to enable further research in deep learning models for biomedical imaging applications.

Applications:

Biomedical imaging
Artificial intelligence
- Deep Learning
Research and development

Advantages:

Converts animal data to the human domain
Increases biological diversity in dataset
Novel method

The use of monochromatic x-rays to treat lung infections.

innovation@unlv.edu — Thu, 16 Jul 2026 09:31:38 GMT

Title:

The use of monochromatic x-rays to treat lung infections

Tech ID:

2023-005

Status:

Active

Category:

Medical Imaging and Radiation Therapy

Executive Statement:

Targeted monochromatic hard x-rays are used to selectively inactivate viruses and kill bacteria causing lung infections.

Description:

This technology utilizes fixed energy, penetrating hard x-rays in the 7-100 keV range to irradiate patients with viral and bacterial lung infections. By directing these highly ionizing x-rays to specific molecular sites within pathogens, it induces precise, highly localized damage that neutralizes viruses and destroys bacteria. This treatment aims to reduce pathogen load, enhancing the patient’s immune response. The approach also shows potential for targeting cancerous tumors deep within the lungs.

Key Advantages:

Precise targeting of pathogens at a molecular level reduces collateral damage to healthy tissue
Penetrating x-rays can reach deep lung tissues and tumors
Effective against both viral and bacterial infections
Non-invasive treatment option that complements the immune system
Potential dual application for infection and cancer treatment

Problems Solved:

High viral and bacterial loads causing severe lung infections
Limitations of conventional antibiotic and antiviral treatments
Inability of some drugs to penetrate deep lung tissues effectively
Need for non-invasive, targeted therapies for lung diseases

Marketing Opportunity:

Treatment of viral lung infections such as COVID-19
Management of bacterial pneumonia and other lung bacterial infections
Adjunct therapy for lung cancer targeting tumors
Hospital and clinical radiation therapy departments
Medical device companies specializing in radiation treatment systems

Inventors:

Michael Pravica

Engineered Protein with Enhance Antibody Targeting and Cytotoxic Response Properties

lbricha@upenn.edu — Thu, 16 Jul 2026 07:52:02 GMT

Problem:
Antibody-based therapies have demonstrated promising results. Following binding of the mAb to its tumor target, interactions of the Fc-portion with Fc-receptors (Fc-R) expressed by effector cells (e.g. natural killer (NK) cells, macrophages and T-cells) may result in complement-dependent cytotoxicity (CDC) and antibody-dependent cellular cytotoxicity (ADCC). It is however clear that mAbs do not exploit the full potential of the immune system as effects are hampered by circulating immunoglobulins (Ig) competing for Fc-R binding spots on immune effector cells, and inadequate tumor-target penetration due to their relatively large size (~150 kDa). Furthermore, binding to inhibitory Fc-R on immune cells may result in internalization of them Ab-tumor target-Fc-R complex reducing its therapeutic efficacy.
Solution:
Several strategies have been explored to overcome the limitations listed above. Dr. Greene and his colleagues developed a class of “Grababodies” as working “prototypes”, which carry an IgG binding-domain of Protein A that interacts with Fc region of immunoglobulins (Penn# V4976, Zhang, 2013). These Grababodies are also engineered to bind to a tumor specific target. As a result, the Grababodies direct immune effector cell functions towards tumor cells and have potential therapeutic applications. The engineered Grababody for a Her2/neu receptor shows a 50% reduction in tumor volume in mice and is more potent than constructs without IgG binding domains (Figure 1). As protein A is of bacterial origin, the researchers have also developed a humanized IgG binding domain (huZZ) to replace the bacterial portion on Grababodies and reduce immunogenicity.
Advantages:

Smaller size over regular antibodies
Glycosylation of the engineered construct is not needed
Reduced cost of production

Stage of Development:

Proof of principle with Her2/neu as the targeted antigen
Confirmed binding of constructs with humanized region “huZZ” binding to IgG

Intellectual Property:

Reference Media:

Cai et al. Cancer Res, 2013, 73(8): 2619
Zhang, Hongtao. OncoImmunology, 2013 June 1, 2(6): e24439

Desired partnerships:

License
Co-development

Docket: V4976, 14-7111

Diagnostics And Therapeutics For Upper Airway And Sinus Infections

lbricha@upenn.edu — Thu, 16 Jul 2026 06:54:58 GMT

Problem:
Severe cases of chronic rhinosinusitis often require surgery to open the sinuses and allow more effective draining and subsequent irrigation to prevent recurrent infection. In some of these surgical cases; however, the initial surgery is ineffective and the patient may need to undergo subsequent more aggressive surgeries to more fully open the sinus cavities.
Solution:
The investigators have now discovered that the nasal epithelium contains specific bitter taste receptors. Importantly, they have also demonstrated that genotype of a specific bitter taste receptor found in the nasal epithelium is very predictive in stratifying rhinosinusitis patients that would benefit from surgery versus those who would not. In addition, the inventors have demonstrated that stimulation of this bitter taste receptor causes release of an antimicrobial peptide that they proceeded to functionally characterize. Therefore, in addition to the possible diagnostic applications of this technology, the invention may also be utilized to develop a novel therapeutic for more rapidly clearing infections of the sinuses and upper respiratory tract.
Intellectual Property:

US 10,881,698
US Patent Pending

Reference Media:

Lee, RJ et al.; J Clin Invest. 2014 Feb 17. pii: 72094.
Adappa, ND et al.; Int Forum Allergy Rhinol. 2013 Mar; 3(3): 184.

Docket Y6058

Silicon Microfluidic Chip For Parallel Droplet Generation

lbricha@upenn.edu — Wed, 15 Jul 2026 13:44:10 GMT

A silicon microfluidic chip and fabrication method enable densely integrated vias for parallel droplet generation on a single wafer.
Problem:
Massively parallel microfluidic chips require large arrays of through-silicon vias to deliver fluid to many devices. Small via footprints are preferred so more features can fit on a single chip. Conventional fabrication approaches can constrain via geometry or scalability when very large via counts are needed. Mechanical instability can also occur when small deep vias are etched directly into the silicon structure.
Solution:
The technology uses delivery channels, trenches, and vias arranged through a silicon substrate to connect fluid inlets with droplet generators. The trench-based architecture allows smaller vias while helping preserve chip stability. The related fabrication method forms delivery channels, oxide layers, vias, and droplet generators in a controlled sequence. After oxide removal, the vias are placed in fluid communication with the delivery channels to create the operating device.
Technology Overview:
The chip includes a substrate with first and second surfaces, inlets for continuous and dispersed phase fluids, delivery channels, trenches, vias, droplet generators, and at least one outlet. The trenches extend from the delivery channels toward the droplet generators, and the vias fluidly connect those structures. In claimed and described embodiments, the architecture supports highly parallelized flow-focusing droplet generation on silicon. Demonstrated embodiments include chips with 20,160 droplet generators and more than 50,000 vias on a single 4-inch wafer.
Advantages:

Enable through-silicon vias with diameters as small as 15 μm on a silicon microfluidic chip
Supports highly parallelized droplet generation using large arrays of droplet generators on a single wafer
Use a trench-and-via design strategy that helps connect fluidic layers while maintaining chip integrity

Applications:

Emulsion generation: The technology can be used for parallel generation of oil-in-water emulsion droplets on silicon microfluidic chips.
Microparticle fabrication: The modular design can be parallelized for fabrication of solid polymer microparticles.
Multiple emulsions: The chip architecture can support parallelization of devices for multiple emulsion fabrication.
Micro-fiber production: The modular design can be adapted for parallel micro-fiber fabrication.
Nanomaterial production: The platform can be used for parallelized microfluidic fabrication of nanomaterials.

Stage of Development:

Prototype

(a) An SEM micrograph of the cross section of the chip. Scale bar 115 µm. (b) The FFGs used in our previous 10k-VLSDI 1.0 chip20. Scale bar 80 µm. (c) FFGs used in this work, VLSDI 2.0, where the device footprint has been scaled down by a factor of two compared to the prior work. Scale bar 80 µm.
Intellectual Property:

US Application US12194460B2
US Application Filed US20250153165A1

Reference Media:

Yadavali, S. et. al., Scientific Rep. 2019 Aug. 21; Volume 9 (1): 12213

Desired Partnerships:

License
Research Collaboration

Docket #18-8645

Novel Compounds for Treatment for Friedreich Ataxia

lbricha@upenn.edu — Wed, 15 Jul 2026 11:59:28 GMT

New compounds identified through high throughput screening which improve mitochondrial function of Friedreich ataxia cells.

Technology Overview:

Friedreich ataxia (FA) is an autosomal recessive, inherited neuro- and cardio-degenerative disorder characterized by progressive ataxia of all four limbs, skeletal deformities, and hypertrophic cardiomyopathy. FA is the most prevalent inherited ataxia, affecting about 1 in 50,000 people in the United States. Most patients are confined to a wheelchair by their late 20s with myocardial failure and/or arrhythmias being the most common cause of premature death. FA is caused by mitochondrial dysfunction secondary to decreased expression of the protein Frataxin.

Problem:

Currently, there are no approved drugs to treat FA and the resultant disability, prolong the life of a FA patient, or cure the disorder.

Solution:

Dr. Wilson and his team at Penn developed a novel in vitro high throughput screening (HTS) platform for screening drug candidates for treatment of FA. Using such systems, the team has screened 342,000 compounds and identified lead candidate compounds that increase the expression of Frataxin protein and support the survival of primary FA fibroblasts. These compounds adhere to Lipinski rules, are highly specific to FA, and are active in the low nanomolar range. Several optimized modifications of the lead compounds have been generated.

Advantages:

Regulatory fast-track: FA is a FDA designated orphan disease with no approved treatment
Access to the expertise and resources of Wilson’s lab

Stage of Development:

Lead candidates identified and validated in in vitro models
Lead optimization is underway

Intellectual Property:

US 9,000,009
US 9,695,157
Divisional 10,745,390

Reference Media:

Cotticelli, GM et al; J. Biomol Screen. 2012 March 17(3): 303.

Desired Partnerships:

License
Sponsored research
Co-development

Docket # V5006

Intranasally-Delivered Therapy for Treatment of Amyotrophic Lateral Sclerosis

lbricha@upenn.edu — Wed, 15 Jul 2026 11:11:54 GMT

Intranasal delivery of dantrolene nanoparticles can improve motor neuron function, muscle strength, and movement coordination and can offer therapeutic benefits for treatment of Amyotrophic Lateral Sclerosis (ASL).
Problem:
ALS a neurodegenerative disease with poor prognosis. ALS is categorized into the familial and sporadic types, with the former accounting for about 10% of cases and the latter the remaining 90% with unknown etiology. Existing therapeutic approaches for ALS involve management of the symptoms and improving quality and length of life. It is paramount to discover and translate treatments of greater efficacy to further extend the quality and length of life post diagnosis and, ultimately, provide a cure.
Technology:
Dr. Wei’s laboratory at the University of Pennsylvania Medical School has previously demonstrated that intranasal delivery of dantrolene in nanoparticle formulation led to a significant increase in dantrolene’s concentration and duration in the brain and an increase in the brain/blood concentration ratio, especially in the aged brain, compared to the oral or subcutaneous administration methods. In an ALS animal model itranasal dantrolene nanoparticles robustly inhibited motor neuron dysfunction and movement discoordination and muscle weakness, associated with robust inbhition of elevated blood biomarker of neurodegeneration, neurofilament light chain. This suggests that intranasal delivery of dantrolene nanoparticles can potentially be used for treatment of ASL.

In addition, Dr. Wei has shown that intranasal use of dantrolene can reduce inflammation-induced depression symptoms and reduce memory loss and AD pathologies in AD animal models.
Advantages:

Use of clinically available and well studied drugs
Increased therapeutic effect
Reduced systemic side effects
Potential dose reduction while maintaining therapeutic effectiveness

Stage of Development:

Preclinical Discovery

Intranasal dantrolene nanoparticles robustly and significantly inhibit impairments in motor coordination and movement balance Overall motor coordination and balance were evaluated at the end of a 30-day treatment period (No treatment (NO TX), intranasal vehicle (IN-VEH) or intranasal dantrolene nanoparticles (IN-DAN) at 120 days of age, using the beam balance test
Intellectual Property:

PCT Pending

Reference Media:

Bhuiyan, P et al.; bioRxiv[Preprint] 2025 May 27; 2025.05.21.655232{version2]

Desired Partnerships:

License
Co-development

Docket # 25-10959

Multifunctional Antimicrobial Nanoplatforms for Light and Mechanically Activated Biomedical Therapies

cabrigo@usf.edu — Wed, 15 Jul 2026 05:27:05 GMT

Advantages

Delivers localized Reactive Oxygen Species (ROS) exactly where antimicrobial activity is needed, allowing for targeted, antibiotic-free treatment with limited concerns of toxicity and inflammation.
Prevents resistant bacteria, viruses, and biofilms without adding to antibiotic resistance.
Multiple stimuli activation such as light, ultrasound, air flow, movement, mechanical stress, piezoelectric energy
Noninvasive treatment for middle-ear infections, wounds, and other deep-tissue infection sites
Offers durable, stimuli-responsive antimicrobial coatings that prevent contamination of medical implants, catheters, filters, masks, and surfaces.
Suitable for a wide range of treatment formats including middle ear infection therapy, wound dressings, sprays, HVAC filters
Integrated fluorescent components, providing additional potential for pathogen tracking, imaging, and treatment monitoring.

Summary

Drug-resistant infections, widespread pediatric infections such as otitis media, contaminated wounds, implant-associated infections, and airborne pathogens continue to place increasing pressure on healthcare systems. Conventional antibiotics tend to be less effective, may have systemic side effects and often do not provide targeted therapy at the site of infection. Therefore, there is a need for a flexible antibiotic-free solution for on-demand control of pathogens, while enabling safer, localized care.

A multifunctional nanoplatform with surface-stabilized metallic and semiconductor nanoparticles, fluorescent, polymer-composite, and piezoelectric elements in a single flexible system. When stimulated by light, ultrasound, airflow, movement, or mechanical stress, it generates localized Reactive Oxygen Species (ROS) that neutralize pathogens and disrupt biofilms. Its modular design can be easily converted into sprays, gels, dressings, filters and protective coatings for middle-ear infections, wound care, air purification, implant and catheter protection and targeted pathogen tracking in biomedical and environmental applications.

Image Description: Fig. 1. Multifunctional Stimuli-Activated Nanoplatform for Targeted ROS Therapy, Infection Control, and Environmental Protection.

Desired Partnerships

License
Sponsored Research
Co-Development

From Muscle to Mind: Harnessing the Muscle–Brain Axis with Scalable, Muscle-Derived Extracellular Vesicles to Treat Alzheimer’s Disease

cabrigo@usf.edu — Wed, 15 Jul 2026 04:43:14 GMT

Advantages

Harnesses the muscle-brain axis, turning human muscle progenitor cells into a renewable source of brain-targeting therapeutic vesicles.
Enables scalable, high-yield vesicle production in a compact bioreactor system.
Uses a fully xeno-free process for safer, clinically ready, biocompatible manufacturing.
Crosses the blood-brain barrier to deliver therapeutic cargo directly to affected neurons.
Reduces neuroinflammation, amyloid buildup, and tau pathology through a single, multimodal disease-modifying action.

Summary

Alzheimer's disease is driven by multiple destructive pathways, including neuroinflammation, amyloid accumulation, and tau dysfunction. Yet most therapies address only one pathway and conventional drugs rarely reach the brain due to their inability to cross the blood–brain barrier. Extracellular vesicles are a promising vehicle for such therapy, but a manufacturing bottleneck holds them back from the clinic: producing them at scale, with batch-to-batch consistency and from a well-defined cell source, has proven difficult, limiting yield, reproducibility, and clinical translation.

This technology draws on the muscle–brain axis, the natural signaling route by which skeletal muscle sends regenerative cues to the brain. A xeno-free suspension process using mini-bioreactors manufactures therapeutic vesicles from a defined human muscle progenitor cell source at the consistency and quantities required by clinical use. The vesicles carry a cargo enriched in proteins that support metabolic resilience and proteostasis. In addition, the vesicles can cross the blood–brain barrier and deliver this cargo directly to the brain. This is a scalable approach that acts on multiple Alzheimer's pathways at once.

EVs from human muscle progenitor cells (MPC) across the BBB of 5XFAD mice.

Following systemic administration, extracellular vesicles (EVs) isolated from PalmGRET labeled MPC were detected beyond the brain capillary compartment.

Desired Partnerships

•   License
•   Sponsored Research
•   Co-Development

MERINDA: Real-Time Digital Twins for Physical AI and Autonomous Systems

ip@skysonginnovations.com — Tue, 14 Jul 2026 17:48:23 GMT

Invention Description

The next generation of autonomous systems—from robots and drones to industrial platforms and intelligent vehicles—depends on Physical AI: systems that continuously learn, predict, and adapt to the physical world. These capabilities increasingly rely on digital twins, computational models that reconstruct and predict system behavior in real time. However, existing approaches often depend on cloud computing or computationally intensive algorithms that are too slow and energy-demanding for deployment on edge devices.

Researchers at Arizona State University have developed MERINDA, a novel framework that enables real-time digital twins and physics-guided AI models to run efficiently on resource-constrained hardware. MERINDA combines a highly parallel neural architecture with FPGA acceleration to replace traditional iterative solvers used in model recovery and neural differential equation methods.

By dramatically reducing runtime, memory usage, and energy consumption while maintaining state-of-the-art accuracy, MERINDA enables autonomous systems to continuously reconstruct and predict their dynamics directly on embedded platforms. The technology supports fast, adaptive, and trustworthy operation in mission-critical environments where cloud connectivity, latency, and power consumption are major constraints.

MERINDA provides the computational infrastructure needed to bring Physical AI from the cloud to the edge.

Potential Applications

Real-time digital twins for autonomous vehicles, robotics, and drones
Edge AI platforms requiring physics-guided predictive inference
Aerospace and defense systems operating in bandwidth- and power-constrained environments
Industrial automation and cyber-physical systems requiring online adaptation
Embedded and IoT devices performing real-time modeling and decision making
Hardware acceleration for physical AI workloads on FPGAs, NPUs, and heterogeneous SoCs
Predictive maintenance and intelligent control in industrial and manufacturing systems

Benefits and Advantages

Enables real-time execution of digital twins on embedded hardware
Significantly reduces memory footprint, DRAM bandwidth, and energy consumption
Accelerates physics-guided AI and model recovery using FPGA implementations
Supports deployment on resource-constrained edge platforms
Provides low-latency adaptation to changing physical environments
Parallelizable neural architecture improves scalability and performance
Maintains accuracy comparable to state-of-the-art model recovery techniques

For more information about this opportunity, please see

Xu et al – ECAI - 2025

Point of Need Multiplexed Immune Response Testing

ip@skysonginnovations.com — Tue, 14 Jul 2026 14:49:37 GMT

Invention Description

Clinicians often need to identify which specific pathogens or agents a patient has been exposed to. Common examples include screening pregnant women for antibodies that pass to the fetus, evaluating respiratory panels, or checking patient response to vaccines. Ideally, this testing could be performed right at the point of care, even without advanced laboratory equipment. However, because these tests are frequently required in remote settings or outside traditional hospital environments, there is a critical demand for rapid, portable, and easy-to-use testing devices that can evaluate multiple health markers simultaneously.

Professor Joshua LaBaer, from the Biodesign Institute of Arizona State University, has developed a novel technology which enables simultaneous detection of multiple antibodies or proteins from a small blood or serum sample using barcoded capture proteins. It integrates a microfluidics chip to separate bound from unbound proteins and employs a specialized PCR to amplify unique barcodes linked to each protein. The results are then visualized on a lateral flow device through hybridization with complementary sequences. Designed for point-of-care use, it eliminates the need for full clinical labs and offers adaptability to various proteins and testing applications.

This technology provides a simple, efficient method for multiplexed detection of antibodies and proteins at the point of need using barcoded capture proteins and microfluidics.

Potential Applications

Point-of-care diagnostics for infectious disease detection
Monitoring vaccine-induced immune responses
Autoimmune disease screening and management
Home testing devices for personalized health monitoring
Field-deployable testing kits for epidemiological surveillance

Benefits and Advantages

Enables multiplexed detection, improving sensitivity and specificity
Requires only a small blood or serum sample
Operable outside conventional clinical laboratories, suitable for field or home use
Rapid and simple workflow combining microfluidics, PCR amplification, and lateral flow detection
Highly adaptable to new proteins and evolving diagnostic needs

MC38 B2m KO Cell Line

nihott@nih.gov — Tue, 14 Jul 2026 13:12:10 GMT

Summary:

The National Cancer Institute (NCI) seeks licensees for a CRISPR/Cas9-engineered MC38 B2m knockout murine colon cancer cell line that models tumor resistance to PD-1/PD-L1 checkpoint blockade caused by loss of MHC-I antigen presentation. This research tool provides an opportunity to study checkpoint-refractory tumors and evaluate alternative or combination immunotherapy strategies for cancers that evade conventional T-cell–mediated recognition.

Description of Technology:

Immune checkpoint blockade (ICB) is a type of cancer immunotherapy targeting proteins such as programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1), which tumors use to reduce T-cell immune activity. These therapies can be effective in some patients. However, ICB targeting PD-1/PD-L1 fails to provide clinical benefit for most cancer patients due to primary resistance. In such cases, tumors either do not respond from the outset or acquire resistance after initially responding. One important cause of resistance is defective antigen presentation, the process by which tumor cells display internal protein fragments on their surface using major histocompatibility complex class I (MHC-I) molecules for cancer-killing T cell recognition.

Researchers at the National Cancer Institute (NCI) have developed and validated an MC38 B2m knockout murine colon cancer cell line designed to reproduce a clinically relevant form of immunotherapy resistance. Using CRISPR/Cas9, NCI researchers eliminated B2m, a gene required for tumor cells to display MHC-I antigen-presenting molecules to cancer-killing T cells. The resulting MC38 B2m KO cell line produces tumors that lack this key immune-recognition signal and are resistant to anti-PD-1 and anti-PD-L1 therapy in syngeneic mouse models. This gives researchers a defined, practical preclinical model to: (1) study tumor immune escape and (2) evaluate new immunotherapy strategies in a checkpoint-resistant setting. This is a superior approach versus models only in tumors that remain responsive to checkpoint blockade. This model uses a clinically relevant checkpoint-resistance mechanism by deleting B2m, which causes loss of MHC-I antigen presentation and prevents conventional CD8+ T-cell recognition. It is based upon the MC38 colon cancer model, which has significant response to PD-1/PD-L1 immune checkpoint blockade before B2m knockout. MC38 B2m KO tumors show abrogated response to anti-PD-1 and anti-PD-L1 treatment in vivo, while wild-type MC38 tumors showed significant tumor growth reduction under the same treatment framework

The Center for Immuno-Oncology seeks licensees interested in using this cell line as a research tool for immuno-oncology studies. This model may be useful for evaluating alternative or combination immunotherapy strategies for checkpoint-refractory tumors, including cancers that evade conventional T-cell-mediated recognition due to defective antigen presentation. It facilitates mechanistic studies of tumor immune escape, CD8+ T-cell recognition, and tumor microenvironment remodeling.

Potential Commercial Applications:

Development of cancer therapeutics overcoming of PD-1/PD-L1 checkpoint blockade resistance
Development of alternative or combination immunotherapies for checkpoint-refractory tumors
Preclinical screening of alternative or combination immunotherapies for checkpoint-refractory tumors
Evaluation of cancer therapeutic strategies for cancers with defective antigen processing/presentation or loss of MHC-I expression
Companion model for comparing checkpoint-resistant MC38 B2m KO tumors against checkpoint-responsive wild-type MC38 tumors

Competitive Advantages:

Uniquely models a clinically relevant checkpoint-resistance mechanism
Uses the MC38 colon cancer model, which is well-established and regulatorily de-risked
Unique model permitting the interrogation of abrogated response to anti-PD-1 and anti-PD-L1 treatment

A Quantum Camera System for Capturing NHI Activities

IEA@rfsuny.org — Tue, 14 Jul 2026 10:19:56 GMT

This technology is a quantum camera system employing unpredictable activation to capture and provide credible evidence of non-human intelligence (NHI) activities.

Background:
Traditional attempts to document phenomena associated with non-human intelligence (NHI), such as unexplained lights or levitation, have been hindered by skepticism and the ease with which such events appear to be staged or faked. Conventional camera systems operate on predictable cycles, allowing highly advanced entities or mechanisms to avoid detection. This challenge has limited scientific validation of these phenomena and their acceptance in mainstream research.

Technology Overview:
The Quantum Camera System integrates a camera with a quantum random number generator that controls its on and off states unpredictably. Unlike traditional cameras with fixed or programmable intervals, the use of quantum randomness ensures that the camera’s activation timing cannot be anticipated or overridden by advanced beings or destabilizing factors. This key feature makes it possible to capture NHI activities as they occur spontaneously, improving the reliability and authenticity of recorded evidence. The system can be built upon established camera technologies, enhanced with a stealth operation mode that prevents external indicators from revealing when the device is active. This helps avoid alerting subjects to the camera’s status, thus reducing the chances of evasion. Additionally, the technology modifies existing random number generators to integrate seamlessly with the camera’s control mechanism, ensuring robust and tamper-proof operation. By leveraging principles of applied physics and quantum mechanics, this invention creates a unique investigative tool that advances the study of atmospheric and optical phenomena associated with NHI. It effectively bridges gaps between theoretical research and practical evidence collection, offering a fresh approach to capturing elusive and controversial activities in a scientifically valid manner.

https://suny.technologypublisher.com/files/sites/adobestock_334168266.jpeg
Photo for reference only, not a depiction of the invention

Advantages:
•   Unpredictable camera activation enabled by quantum randomness prevents subjects from anticipating and evading surveillance.
•   Stealth operation mode removes external signals, enhancing covert monitoring capabilities.
•   Integration with proven camera technologies allows easy adoption and customization.
•   Improves credibility and scientific rigor in capturing evidence of unconventional phenomena.
•   Tamper-proof control minimizes manipulation or interference with recorded data.
•   Applicable to the study of atmospheric remote sensing and optical sensor research related to unexplained events.

Applications:
•   Scientific research on non-human intelligence and unexplained aerial phenomena.
•   Atmospheric and environmental monitoring using advanced optical sensing techniques.
•   Covert surveillance in security and defense contexts where unpredictability is crucial.
•   Data collection in experimental physics involving quantum measurements and randomness.
•   Enhancement of investigative tools in parapsychology and fringe science fields.

Intellectual Property Summary:
Patent Pending

Stage of Development:
TRL 3

Licensing Status:
This technology is available for licensing.

Advanced Modeling and Optimization of Multi-Active Bridge Converters

ip@skysonginnovations.com — Tue, 14 Jul 2026 09:16:13 GMT

Invention Description

Theoretical models of MAB converters usually assume ideal components, but real-world systems suffer from various parasitic effects that skew power transfer predictions. These include MOSFET on-state resistances, AC winding losses in inductors/transformers, and the ESR of both DC blocking and DC link capacitors, all of which introduce measurable conduction losses and voltage drops. Additionally, since DC blocking capacitors have frequency-dependent impedance, they do not behave as ideal short circuits at all frequencies. Thus, there is an inadequate representation of converter non-idealities in traditional models of MAB converters resulting in inefficient power flow control due to simplistic modulation techniques.

Researchers at Arizona State University have developed an enhanced unified modeling framework for analyzing and modeling multi-active bridge (MAB) converters by including real-world non-idealities such as resistive losses, dead time effects, and transformer parasitics. This framework was designed to accurately predict power flow and current behavior as well as fine-tune control parameters to improve converter efficiency in real-time digital control systems. It enables accurate representation of both resonant and non-resonant transformer-isolated H-bridge-based converters while taking into account non-idealities that are common in circuits.

This unified modeling framework for multi-active bridge converters incorporates non-idealities and optimizes control to enhance efficiency and accuracy.

Potential Applications

High-efficiency power conversion systems for renewable energy integration
Electric vehicle powertrains requiring precise and efficient energy transfer
Industrial motor drives and variable frequency drives employing multi-port converters
Smart grid applications involving advanced power management and conditioning.
Consumer electronics requiring compact, efficient power converters with optimized control

Benefits and Advantages

Accurate modeling of real-world converter non-idealities including resistive losses and switching dead time
Unified framework for n-port MAB converter analysis
Optimized control strategies to reduce computational load and improve converter efficiency in real-time digital control systems
Real-time efficiency enhancement and loss minimization
Enables a more realistic representation of both resonant and non-resonant transformer-isolated H-bridge-based converters

For more information about this opportunity, please see

Mallik et al – IEEE APEC - 2026