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Highly Accelerated Multi-Dimensional MRI Using Physics-Guided Self-Supervised Deep Learning Reconstruction (Case No. 2026-164)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a novel physics-guided, self-supervised deep learning framework for multi-dimensional magnetic resonance imaging that delivers superior image quality and preserves spatiotemporal fidelity at high acceleration rates. Background: Magnetic resonance imaging (MRI) is...

Published: 6/5/2026 | Inventor(s): Xiaodong Zhong, Jun Lyu, John Finn

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Software & Algorithms > Data Analytics, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI

Accurate Compute-In-Memory Accelerator With Multi-Level Analog Weight Storage (Case No. 2026-169)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a high-density, multi-level CTT-based compute-in-memory architecture that enables precise, energy-efficient analog computation directly within memory for high-performance computing. Background: Conventional digital processors for artificial intelligence...

Published: 6/3/2026 | Inventor(s): Sudhakar Pamarti, Mohammadreza Zeinali, Samyak Chakrabarty, Vinod Kurian Jacob

Keywords(s): Advanced Computing / AI, advanced computing methods, AI, AI hardware, analog computing, Artificial Intelligence, artificial intelligence accelerators, Artificial Neural Network, CMOS, compute-in-memory, edge computing, Energy Efficiency, high-performance computing, Memory, parallel computing, Transistor, transistors

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

Linking the Gap Between Traumatic Brain Injuries & Cognitive Impairments Through the Creation of Machine Learning Based Diagnostic & Prognostic Clinic (Case No. 2026-251)

Summary: UCLA researchers have developed a machine learning-based clinical decision support tool that predicts patient-specific cognitive impairments following traumatic brain injury (TBI) using neuroimaging and multimodal clinical data. The software leverages MRI-derived structural brain information to generate individualized diagnostic and prognostic...

Published: 5/1/2026 | Inventor(s): Sonya Ashikyan, Martin Monti, Jeffrey Chiang

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Bioinformatics, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > CT, Medical Devices > Medical Imaging > MRI, Therapeutics > CNS and Neurology, Therapeutics

Active Electromagnetic Interference Suppression for Magnetic Resonance Imaging-Guided Interventions (Case No. 2026-217)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a software-based active electromagnetic interference suppression solution for real-time MRI-guided interventions. Background: Microwave ablation (MWA) has emerged as the preferred thermal ablation modality for treating non-surgical patients with primary and metastatic...

Published: 4/16/2026 | Inventor(s): Holden Wu, Qing Dai

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Life Science Research Tools > Lab Equipment, Medical Devices > Monitoring And Recording Systems, Therapeutics, Therapeutics > CNS and Neurology, Therapeutics > Immunology And Immunotherapy, Therapeutics > Inflammation And Inflammatory Diseases, Mechanical, Mechanical > Instrumentation, Mechanical > Sensors, Electrical, Electrical > Electronics & Semiconductors, Electrical > Signal Processing, Electrical > Instrumentation, Electrical > Imaging

A Low-Cost Non-invasive Fruit Ripeness Sensing System (Case No. 2025-007)

Summary: Researchers in the Department of Computer Science at UCLA developed an affordable, non-invasive fruit ripeness estimation system to improve operational efficiency of food manufacturing systems. Background: Fruit waste accounts for a significant portion of global waste due to consumer purchasing trends and grower harvesting issues. Consumers...

Published: 4/1/2026 | Inventor(s): Omid Abari, Shanmu Wang

Keywords(s): acoustics, Agriculture, Cellular agriculture, Continuous-Wave Radar, frequency modulation, millimeter-wave, mmWave backscatter network, Radiofrequency Ablation

Category(s): Software & Algorithms > Data Analytics, Optics & Photonics, Optics & Photonics > Remote Sensing, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > AI Algorithms

DNA Methylation Biomarkers to Predict Chronic Lung Allograft Dysfunction (UCLA Case No. 2025-9A0)

UCLA researchers in the Department of Medicine have developed a logistic regression model using DNA methylation biomarkers that enables early, noninvasive prediction of chronic lung allograft dysfunction up to two years before clinical disease onset. BACKGROUND: Chronic lung allograft dysfunction (CLAD) is the leading cause of long-term graft failure...

Published: 2/25/2026 | Inventor(s): Joanna Schaenman

Keywords(s):

Category(s): Diagnostic Markers > Targets And Assays, Diagnostic Markers > Immunology, Therapeutics > Respiratory And Pulmonary, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Bioinformatics, Software & Algorithms > Statistical Models

Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...

Published: 12/5/2025 | Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li

Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures

Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs

Aerodynamics-Informed Design Optimization of Vehicles with Machine Learning (Case No. 2025-083)

Intro Sentence: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a machine-learning–guided aerodynamic optimization framework that accelerates the design of electric vehicles by coupling high-fidelity simulations with data-driven shape prediction. Background: Electric vehicle (EV) technologies have...

Published: 11/5/2025 | Inventor(s): Kunihiko Taira, Jonathan Tran, Kai Fukami, Daisuke Umehara, Kenta Inada, Yoshimichi Ono, Kenta Ogawa

Keywords(s):

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Materials, Materials > Functional Materials, Energy & Environment

Prototype Software for Neuron-Centric Memory Architecture in AI (Case Nos. 2025-327/328)

Summary: Researchers at UCLA’s Department of Integrative Biology & Physiology and Neurobiology have pioneered the first prototype of a novel, neuron-centric AI architecture featuring intracellular memory and adaptive computation capabilities, designed to enhance deep learning performance and efficiency. Background: Deep learning leverages...

Published: 12/10/2025 | Inventor(s): Alain Glanzman, David Glanzman

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), 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-intelligent materials, generative artificial intelligence, Medical artificial intelligence (AI), Neuron, neurons, Software, Software & Algorithms, Software Development Tools, Software-enabled learning

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

Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks (Case No. 2020-174)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a diffractive neural network that can process an all-optical, 3D printed neural network for deep learning applications. Background: Deep learning, a method of machine learning that mimics the human brain’s connectivity through a series of “neural...

Published: 10/17/2025 | Inventor(s): Aydogan Ozcan, Yi Luo, Deniz Mengu, Yair Rivenson

Keywords(s):

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing

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