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AI-Powered System for Objective Surgical Skill Assessment in Open Procedures (Case No. 2025-207)

Summary: UCLA researchers in the Department of Surgery have developed a deep-learning architecture to efficiently and accurately assess surgeon skill level for improved medical training. TITLE: AI-Powered System for Objective Surgical Skill Assessment in Open Procedures Background: Objectively assessing surgical trainee performance during open...

Published: 3/21/2025 | Inventor(s): Peyman Benharash, Armin Alipour

Keywords(s): AI, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, deep-learning analysis algorithms, Education technology, image-guided surgery, medical bias reduction, Quality Control, Surgery, Surgical Instrument, Surgical Tools, teaching

Category(s): Life Science Research Tools > Lab Equipment, Life Science Research Tools > Research Methods, Medical Devices > Hospital Systems, Medical Devices > Monitoring And Recording Systems, Medical Devices > Surgical Tools, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Communication & Networking, Software & Algorithms > Digital Health

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing (Case No. 2025-128)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering & Bioengineering have developed a novel, high-sensitivity chemiluminescence vertical flow assay for rapid cardiac diagnostics, addressing current challenges in both modern and underserved healthcare settings. Background: Point-of-care (POC) testing is performed...

Published: 2/26/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo, Merve Eryilmaz

Keywords(s):

Category(s): Chemical, Chemical > Instrumentation & Analysis, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Electrical > Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Therapeutics, Therapeutics > Cardiovascular

Event-Driven Integrate and Fire (EIF) Neuron Circuit for Neuromorphic Computing System (Case No. 2024-275)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an energy efficient neuromorphic computing architecture. Background: Widespread growth in demand for artificial intelligence systems has highlighted limitations in current central processing unit (CPU) designs, particularly in terms of energy efficiency...

Published: 3/4/2025 | Inventor(s): Mau-Chung Chang, Chao Jen Tien, Yong Hei

Keywords(s): Advanced Computing / AI, advanced computing methods, AI hardware, analog computing, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial intelligence-generated content, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial presenting cells, artificial-intelligent materials, Cloud Computing, computational efficiency, computational imaging, compute-in-memory, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Vision, CPU design, deep neural networks (DNN), Energy Density, Energy Efficiency, event-driven processing, generative artificial intelligence, latency encoding, low latency computing, low-power architecture, matrix multiplication, Medical artificial intelligence (AI), Neuromorphic computing, offline learning, online learning, spike neural networks (SNN), Supercomputer

Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors, Electrical > Computing Hardware, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning

Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)

Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...

Published: 2/14/2025 | Inventor(s): Timothy Chang

Keywords(s): Alzheimers disease, artificial intelligence/machine learning models, electronic health records (EHR), medical bias reduction, Neurodegeneration Alzheimer's Disease Predictive Testing, neurological disorders, Neurology, personalized medicine

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Diagnostic Markers > Aging, Therapeutics > CNS and Neurology

Aerodynamics-Guided Machine Learning for Design Optimization of Vehicles (Case No. 2024-221)

Summary: UCLA researchers have developed a computational method to rapidly generate vehicle designs with maximum aerodynamic efficiency. Background: The global shift towards electric vehicles (EVs) has opened new opportunities in automobile design with stylistic and functional benefits. Unlike combustion engine vehicles, EVs lack a large engine...

Published: 2/14/2025 | Inventor(s): Kunihiko Taira, Jonathan Tran, Kai Fukami

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Programs, Materials, Materials > Functional Materials, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Statistical Models

Blurryscope (Case No. 2025-070)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a cost-effective digital scanning microscope to improve pathological screening. Background: High quality pathological imaging systems are essential to carefully assess tissue sectioning samples and produce accurate diagnoses for patients. Digitization...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Michael Fanous, Christopher Seybold

Keywords(s):

Category(s): Electrical, Electrical > Imaging, Electrical > Instrumentation, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

Volumetric Analysis of Multi-Dimensional Images

Summary: UCLA investigators have identified an effective and accurate algorithm for calculating the volume and surface of irregularly shaped 3D structures from points selected on an image. This method can be used to calculate geometric information for a wide range of multi-dimensional objects and has been tested accurately on calculating the size of...

Published: 2/14/2025 | Inventor(s): Ai-Chi Chien, Bin Dong, Yu Mao, Stanley Osher

Keywords(s):

Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Hospital Systems, Medical Devices > Monitoring And Recording Systems, Medical Devices > Medical Imaging

VEViD: Vision Enhancement via Virtual Diffraction and Coherent Detection (Case No. 2023-083)

Summary: UCLA researchers in the Department of Electrical Engineering have developed an innovative approach to improve image quality when lighting conditions are suboptimal, that can be readily integrated with different machine learning techniques for more accurate object and face recognition. Background: The computer vision market size was valued...

Published: 2/14/2025 | Inventor(s): Bahram Jalali, Callen MacPhee

Keywords(s):

Category(s): Electrical, Electrical > Signal Processing, Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Optics & Photonics, Electrical > Displays, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning

In-Situ Stochastic Computing in Memory (Case No. 2024-121)

Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a data-converter-free in-memory computing circuit that greatly reduces data processing latencies. Background: Low latency and low power computing circuitry is in high demand for artificial intelligence (AI) / machine learning (ML) applications. Compute...

Published: 2/20/2025 | Inventor(s): Sudhakar Pamarti, Jiyue Yang

Keywords(s):

Category(s): Electrical, Electrical > Computing Hardware, Electrical > Electronics & Semiconductors, Software & Algorithms > Artificial Intelligence & Machine Learning

AI-Powered Technology for Safe and Smart Charging of Li-Ion Batteries (Case No. 2024-209)

Summary: Researchers in the UCLA Department of Chemical and Biomolecular Engineering have developed a new battery management system to improve lithium-ion battery lifetimes. Background: Lithium-ion (Li-ion) batteries are crucial for powering many modern devices, from smartphones to electric vehicles due to their high energy density, long life cycle,...

Published: 2/14/2025 | Inventor(s): Yuzhang Li, Jiayi Yu, Aki Takahashi

Keywords(s):

Category(s): Materials, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Energy & Environment, Energy & Environment > Energy Storage, Energy & Environment > Energy Storage > Batteries, Electrical, Electrical > Sensors

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