Search Results - machine+learning

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Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....

Published: 7/23/2025 | Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang

Keywords(s): 3D tissue imaging, AI-guided diagnostics, AI-guided medical imaging, AI-guided medical intervention, arthritis, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, bioimaging, Computer-Aided Diagnosis, computer-aided radiology, Diagnostic Markers & Platforms, Diagnostic Test, diagnostics, generative artificial intelligence, Image Analysis, Image Resolution, Imaging, infrared thermal imaging, Machine Learning, machine learning modeling, machine perception, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Medical artificial intelligence (AI), Medical diagnostics, Medical Imaging, Microscopy And Imaging, non-invasive imaging, osteoarthritis, radial MRI, radiologic imaging, Radiology, Radiology / Radiomitigation, radiosurgery

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Therapeutics, Therapeutics > Musculoskeletal Disease, Therapeutics > Radiology

Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)

Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...

Published: 7/22/2025 | Inventor(s): Andrea Bertozzi, Anne Andrews, Matthew Tyler, Paolo Climaco, Noelle Mitchell

Keywords(s): Advanced Computing / AI, advanced computing methods, Aptamers, Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence/machine learning models, bioinformatics pipeline, cancer target, clustering, computational efficiency, computational efficiency and analysis, design software, DNA clustering, DNA oligomer, DNA Sequencing, Drug, Drug Delivery, Drug Development, Drug Discovery, drug screening, high throughput, high throughput assays, high throughput testing, high-throughput analysis, High-Throughput Screening, interpretability, pipeline, large-scale parallelization, Machine Learning, machine learning modeling, motif structures, open source, open source code, OpenAI, Pharmaceutical Drug, protein classification, secondary structure, SELEX, sequences of interest, single strand DNA sequences, Software, Software & Algorithms, Software Development Tools, Software-enabled learning, subgraph matching, target binding, target detection, Targeted Therapy, Targets And Assays, tissue targeting accuracy

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Screening Libraries, Platforms, Platforms > Drug Delivery, Diagnostic Markers > Targets And Assays, Diagnostic Markers, Software & Algorithms > Bioinformatics

Intro Sentence: UCLA researchers from the Department of Computational Medicine have developed a novel model for tabulating electronic health records. Background: Electronic Health Records (EHR) provide healthcare systems with insights into health histories. Machine learning models have been developed to use EHR for inference tasks based on specific...

Published: 2/14/2025 | Inventor(s): Jeffrey Chiang, Simon Lee

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), clinical decision support, EHR, EHR integration, electronic health records (EHR), Hospital Systems And Devices, lab results analysis, large language model (LLNMs), Machine Learning, machine learning modeling, patient questionnaire, personalized medicine, predictive analytics, specialist referral

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Programs, Medical Devices, Medical Devices > Hospital Systems

Artificial Neural Network Train-Time Poison Defense via Energy-Based Model Dynamics Sampling (Case No. 2024-199)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel preprocessing algorithm to purify imperceptibly poisoned training datasets that may lead to misclassification and maintain image quality. Background: Large datasets are important for the effectiveness of machine learning models, serving as the...

Published: 5/6/2025 | Inventor(s): Gregory Pottie, Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang

Keywords(s): AI algorithms, Algorithm, Artificial Intelligence, artificial intelligence augmentation, Automation, Autonomous driving, Big Data, Computer Aided Learning, Data Corruption, Digital Health, Machine Learning, Machine Learning Autonomous Car Gradient Descent

Category(s): Software & Algorithms, Platforms > Diagnostic Platform Technologies, Therapeutics > Radiology, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation, Mechanical > Sensors

Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)

Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...

Published: 2/14/2025 | Inventor(s): Maxime Cannesson, Sungsoo Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal

Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems

A Method and System for Pre-processing Medical Images (Case No. 2024-177)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel pre-processing computer algorithm for automated medical imaging. Background: The integration of machine learning and artificial intelligence into medical imaging applications offers significant potential to automate the diagnosis of various...

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

Keywords(s): 3D ultrasound imaging, Artificial Intelligence, bioimaging, Computer Vision, histopathology images, Machine Learning, Medical Imaging, MRI, X-Ray

Category(s): Diagnostic Markers > Cancer, Diagnostic Markers > Immunology, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing

Object-Detecting Deep Learning for Multi-Event Electrochemical Data (Case No. 2024-088)

Summary: UCLA researchers in the Department of Chemistry and Biochemistry developed a custom-designed deep learning architecture for object detection and mechanisms classification to streamline the experimental design of cyclic voltammograms. Background: Cyclic voltammetry, a widely used electrochemical test, serves as a crucial tool in understanding...

Published: 2/14/2025 | Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang, Yuanzhou Chen

Keywords(s): 2D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, bioelectronics, Biomaterial, electrochemical sensors, Electronics & Semiconductors, Lithium Battery, Lithium-Ion Battery, Machine Learning, Materials, Medical Devices and Materials, Medical diagnostics, Pharmaceutical Drug, Pharmaceutical testing, Rechargeable Battery, zzenergy storage

Category(s): Electrical > Electronics & Semiconductors, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Energy & Environment > Water Monitoring & Treatment, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Signal Processing

Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors (Case No. 2023-192)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel platform technology to facilitate the design of all-optical visual processors, which can be used to perform advanced computational tasks at the speed of light. Background: Information processing via light is a cutting-edge field among optics...

Published: 6/9/2025 | Inventor(s): Aydogan Ozcan, MD Sadman Sakib Rahman, Xilin Yang

Keywords(s): Adaptive Optics, Algorithm Optical Coherence Tomography, all-optical diffractive computing, all-optical transformation, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Atomic Force Microscopy Optical Tweezers, computational imaging, deep diffractive network, Deep Learning, Deep learning-based sensing, diffractive processor, Dispersion (Optics), Electron Microscope, Electro-Optics, fluorescence microscopy, Focus (Optics), Infrared Electromagnetic Spectrum Dispersion (Optics), interference processor, large language model (LLNMs), linear optics, linear transformations, Machine Learning, Microscope, Microscopy, Microscopy And Imaging, Near-Field Scanning Optical Microscope, neural networks, Nonlinear Optics, non-linear optics, Optical Coherence , Optical Communication , Optical computing, Optical Fiber Copper Wire And Cable, optical implementation, Optical Microscope, Optical networks, optical processor, optical transmission, Optics Parabolic Reflector Curved Mirror, phase-only diffractive network, reverse engineered optical system, Software, Software & Algorithms, Software Development Tools, spatially-incoherent light, start to end optics design, Surgical Instrument Optical Coherence Tomography, three dimensional imaging, visual computing, Waferscale Processors

Category(s): Optics & Photonics, Optics & Photonics > Microscopy, Platforms, Software & Algorithms > Image Processing, Electrical, Electrical > Signal Processing, Electrical > Computing Hardware

A Programming Language to Execute Biological Experiments (Command Line Biology/Biowrapper) (Case No. 2024-049)

Intro Sentence: UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a programming language to automate biological experiments. Background: Manual labor is a common bottleneck in biological sciences, with automation technology still being unobtainable and impractical for most scientists in biomedical research....

Published: 5/8/2025 | Inventor(s): Robert Damoiseaux, Michael Mellody, Ronan Bennett, Alejandro Huerta, Rutu Shah

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, artificial-intelligent materials, Automation, generative artificial intelligence, Machine Learning, machine learning modeling, Medical artificial intelligence (AI), Programmable Logic Device

Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Programs, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Research Methods

Rapid Sensing of Hidden Objects and Defects Using a Single-Pixel Diffractive Terahertz Processor (Case No. 2023-184)

Summary: UCLA researchers have developed a diffractive sensor that leverages deep-learning-optimized diffractive layers to rapidly detect hidden objects and defects within a 3D sample without scanning or image processing. Background: Inspecting hidden structures is a critical requirement in various fields, including security, manufacturing, and...

Published: 6/11/2025 | Inventor(s): Aydogan Ozcan, Jingxi Li

Keywords(s): Deep learning-based sensing, Electrical, Electrical Engineering, Image Processing, Machine Learning, real-time sensing/monitoring/tracking, Remote Sensing, smart sensing, target detection, Traitler

Category(s): Electrical, Electrical > Sensors, Optics & Photonics > Spectroscopy, Software & Algorithms > Artificial Intelligence & Machine Learning

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