Search Results - m+miceli

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Spectral Kernel Machines With Electrically Tunable Photodetectors (Case No. 2025-104)

Summary: Spectral machine vision traditionally acquires dense 3D hypercubes (x, y, λ) of spatial and spectral information, which must be processed downstream. This imposes major computational burdens, tradeoffs in spatial/spectral resolution, frame rate, and power. The innovation embodied in spectral kernel machines (SKM) is a photodetector...

Published: 10/1/2025 | Inventor(s): Aydogan Ozcan, Yuhang Li, Dehui Zhang, Ali Javey

Keywords(s):

Category(s): Optics & Photonics, Materials, Materials > Nanotechnology, Materials > Functional Materials

Interactive Systems and Methods for Identifying Target Proteins in Drug Discovery (Case No. 2025-098)

Summary: UCLA researchers from the Department of Electrical and Computer Engineering have developed a novel computational system for target protein identification, enabling integrative drug discovery. Background: Target identification (Target ID) in drug discovery involves the identification and evaluation of protein candidates that could interact...

Published: 10/1/2025 | Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang, Ziwen Li, Jesus Campagna, Varghese John, Whitaker Cohn, Eunice Jun

Keywords(s): AI-driven drug discovery, Alzheimer’s disease target discovery, Bioinformatics software platform, Drug, Drug Discovery, Functional annotation of proteins, High-throughput docking, large language models (LLMs), Ligand-protein docking, Mechanism-of-action prediction, Molecular docking simulation, Multi-criteria decision support, Neurodegenerative disease therapeutics, Pathway-centric drug targeting, personalized medicine, PPI-Comparator, PPI-Explorer, Protein structure prediction, Protein-protein interaction (PPI) analysis, Rational drug design, Retrieval-augmented generation (RAG), Semantic similarity modeling, Small molecule screening, Systems biology interface, Target identification (Target ID), Therapeutic impact modeling, User-guided AI exploration

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Life Science Research Tools, Life Science Research Tools > Research Methods, Platforms, Platforms > Drug Delivery

Self-Powered Electrical Stimulation Magnetoelastic Bandage for Accelerated Wound Healing (Case No. 2025-99N)

Reference: UCLA Case No. 2025-99N Please reach out to our office for more information.

Published: 9/12/2025 | Inventor(s): Jun Chen, Kanishk Rai, Song Li, Il Woo Ock, Haochen Nan

Keywords(s):

Category(s): Therapeutics, Therapeutics > Aesthetic Medicine, Materials, Materials > Functional Materials, Materials > Membranes, Electrical, Electrical > Flexible Electronics

TRP: P. Acnes Strains with Locus 4 (UCLA Case No. 2022-121)

Tangible Research Property (TRP) Skin microbiome samples were collected using Biore Strips from human subjects. From the skin samples, researchers at UCLA and the Lundquist Institute Harbor UCLA isolated and cultured more than a dozen Propionibacterium acnes strains. By genome sequencing, the lab identified that these bacterial strains contain locus...

Published: 9/11/2025 | Inventor(s): Huiying Li, Noah Craft

Keywords(s):

Category(s): Life Science Research Tools

Synthetic Notch Receptors for Use in Customized Spatial Control of Multiple Gene Expressions and Uses Thereof (UCLA Case No. 2023-261)

Researchers at UCLA and USC have developed a modular invention that enables customized spatial control of multiple gene expressions in living cells using synthetic Notch (synNotch) receptors, with broad applications in tissue engineering, synthetic morphogenesis, and regenerative medicine. BACKGROUND: Precise spatial control of gene expression is fundamental...

Published: 9/11/2025 | Inventor(s): Song Li

Keywords(s):

Category(s): Platforms, Life Science Research Tools > Research Methods

AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...

Published: 8/26/2025 | Inventor(s): Aydogan Ozcan, Shannon Wongvibulson, Paloma Casteleiro Costa, Gyeo-Re Han, Yuzhu Li

Keywords(s): Artificial Intelligence, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, artificial-intelligent materials, Computer-Aided Diagnosis, deep neural networks (DNN), Dermatology, electrochemical sensors, Medical artificial intelligence (AI), Signal Processing, Signal-To-Noise Ratio, Skin, skin protection, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health

Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Medical Devices > Monitoring And Recording Systems, Therapeutics > Dermatology, Diagnostic Markers

Method and Apparatus for Segmentation of Dense MR Images Using Deep Learning with Domain Adaptation (Case No. 2025-208)

Summary: UCLA researchers from the Department of Radiological Sciences have developed a deep learning-based segmentation framework that enables fully automated and reproducible analysis of left ventricular (LV) function in Displacement Encoding with Stimulated Echoes (DENSE) MRI. Background: Myocardial strain is a key metric for analyzing how much...

Published: 8/18/2025 | Inventor(s): Xiaodong Zhong, Siyue Li, Kim-Lien Nguyen

Keywords(s): acute myocardial infarction, adjustable mount, aneurysm drainage, automatic leveling, bedside decisions, blood pressure monitoring, cardiac cycle, Cardiac Electrophysiology, Cardiac failure, Cardiac Magnetic Resonance Imaging, Cardiac MRI, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular monitoring, cerebrospinal fluid (CSF) drainage, Cine MRI, clamp, critical-care, CSF drainage, Deep learning MRI, DENSE MRI, laser alignment, Left ventricular segmentation, lumbar drains, Motion analysis, MRI, multiparametric MRI (mpMRI), Myocardial strain, non-invasive cardiac monitoring, operator variability, passive reflective target, phlebostatic axis measurement, Pseudo-labeling, radial MRI, Segment Anything Model (SAM), self-leveling system, transducer alignment, Unsupervised domain adaptation (UDA)

Category(s): Medical Devices > Cardiac, Electrical > Imaging, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Therapeutics > Cardiovascular, Therapeutics > Radiology, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging

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: 7/25/2025 | 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

Hemodynamics Driven Magnetoelastic Vascular Graft (Case No. 2025-124)

Summary: UCLA researchers in the Department of Bioengineering have developed a novel magnetoelastic vascular graft to provide real-time, wireless, and continuous stenosis monitoring. TITLE: Hemodynamics Driven Magnetoelastic Vascular Graft Background: Vascular grafts are commonly used to restore blood flow in patients with blocked or damaged blood...

Published: 7/3/2025 | Inventor(s): Jun Chen, Song Li, Guorui Chen

Keywords(s): cardiovascular monitoring, Diagnostic Platform Technologies (E.G. Microfluidics), hemodynamic monitoring, Hemodynamics, magnetoelastic sensor, Medical diagnostics, Vascular therapy

Category(s): Diagnostic Markers > Immunology, Life Science Research Tools > Screening Libraries, Medical Devices > Monitoring And Recording Systems, Therapeutics > Autoimmune, Therapeutics > Immunology And Immunotherapy, Therapeutics > Transplant, Therapeutics > Hematology, Therapeutics > Cardiovascular

Diffractive Waveguides (Case No. 2025-012)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed innovative high performance diffractive waveguides adaptable to any task and that achieve desired specifications for applications spanning telecommunications, sensing, spectroscopy, and integrated photonics circuits. Background: Waveguides are crucial...

Published: 8/13/2025 | Inventor(s): Aydogan Ozcan, Yuhang Li, Yuntian Wang

Keywords(s): Adaptive Optics, deep diffractive network, Deep Learning, Deep learning-based sensing, Diffraction, diffractive network, Dispersion (Optics), optimization, Phase (Waves), real-time sensing/monitoring/tracking, Waveguide, Waveguide (Electromagnetism), Waveguide Light, Waveguide Waveguide (Electromagnetism), Wavelength

Category(s): Electrical > Sensors, Electrical > Signal Processing, Electrical > Visual Computing > Diffractive Computing, Electrical > Imaging

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