Search Results - software+%26+algorithms+%3e+digital+health

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Swabseq Universal Pathogen Diagnostic Platform (Case No. 2026-121)
Summary: UCLA researchers in the Department of Computer Science have developed a next-generation universal pathogen diagnostic platform combining scalable genomic sequencing, simplified laboratory workflows, and integrated logistics infrastructure to enable rapid, low-cost, high-throughput infectious disease detection. Background: The rise of pathogen-specific...
Published: 6/5/2026   |   Updated: 6/5/2026   |   Inventor(s): Eleazar Eskin, Valerie Arboleda, Chongyuan Luo, Taryn Jakub, Traci Toy
Keywords(s): AI-guided diagnostics, Assay, Computer-Aided Diagnosis, COVID-19, Diagnostic Markers & Platforms, diagnostic platforms, Diagnostic Test, diagnostics, Infectious Diseases, Infrastructure, Medical diagnostics, metagenomic diagnostic platform, Pathogen, platform technology, scalable platform
Category(s): Therapeutics > Infectious Diseases, Therapeutics > Infectious Diseases > COVID, Software & Algorithms > Digital Health, Software & Algorithms, Platforms > Diagnostic Platform Technologies, Platforms, Diagnostic Markers, Diagnostic Markers > Targets And Assays
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   |   Updated: 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
Copyright: Cytoripple (Case No. 2026-139)
Summary: A UCLA researcher in the Department of Medicine, Hematology Oncology has developed a computational framework to model subcellular orientation for spatial biology Background: Spatial biology allows researchers to map the coordinates of proteins with subcellular resolution, revolutionizing our understanding of disease. Critical cellular processes...
Published: 6/3/2026   |   Updated: 6/3/2026   |   Inventor(s): Katie Campbell, Daniel Chen, Taejus Yee
Keywords(s):  
Category(s): Diagnostic Markers, Diagnostic Markers > Immunology, Diagnostic Markers > Cancer, Platforms, Platforms > Diagnostic Platform Technologies, Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Software & Algorithms > Bioinformatics, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health
Device and Method for Recording-Guided Neuromodulation via the Olfactory Cleft (Case No. 2026-077)
Summary: UCLA researchers in the Department of Neurology have developed a minimally invasive, recording-guided closed-loop neuromodulation device enabling transnasal access to olfactory-cleft pathways for targeted modulation of deep limbic brain circuits. Background: The olfactory bulb provides direct anatomical and functional pathways to the limbic...
Published: 6/3/2026   |   Updated: 5/28/2026   |   Inventor(s): Kevin Bickart, Mahmoud Omidbeigi
Keywords(s): Brain, Deep Brain Stimulation, Deep Brain Stimulation Current Mirror Output Impedance, device stability, Electrical Brain Stimulation, Electrical stimulation, minimally invasive device, neural stimulation, Neuromodulation, Neurostimulation, noninvasive, non-invasive, non-invasive monitoring, Transcutaneous Electrical Nerve Stimulation
Category(s): Software & Algorithms > Bioinformatics, Therapeutics > CNS and Neurology, Software & Algorithms > Digital Health, Electrical, Life Science Research Tools, Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Neural Stimulation
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   |   Updated: 4/30/2026   |   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
RSA-Wearable Alertness Detecting Device (Case No. 2025-245)
Summary: UCLA researchers from the Department of Medicine-Pulmonary Disease have developed a novel wearable device to detect alertness and predict the onset of sleep for improved safety. Background: Hypersomnia and excessive daytime sleepiness (EDS) are both symptoms of a broad class of sleeping disorders including obstructive sleep apnea (OSA),...
Published: 2/27/2026   |   Updated: 12/1/2025   |   Inventor(s): Ravi Aysola
Keywords(s): Biomonitoring, Computer Monitor, continuous sleep monitoring, CPAP, Gene Block, non-invasive monitoring, patient outcome, Philips, public health monitoring, remote monitoring, remote patient analysis, remote patient monitoring (RPM), Remote Sensing, sleep apnea, sleep monitoring, sleep monitoring and health, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health
Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Electrical, Electrical > Sensors, Electrical > Flexible Electronics, Platforms, Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Data Analytics
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   |   Updated: 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
Automated Detection of Lung Nodules in Medical Images (Case No. 2012-512)
Summary UCLA researchers have developed an automated image processing system that segments lung regions in CT scans, identifies candidate high-intensity structures (like nodules), and classifies lung nodules (including solid and ground glass) using geometric analysis. The system aims to reduce false positives while maintaining high sensitivity in lung...
Published: 9/23/2025   |   Updated: 9/23/2025   |   Inventor(s): Matthew Brown
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Hospital Systems, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems
Developing Physical Deformable Lung Phantom With Subject Specific Elasticity (2013-705)
Summary UCLA researchers have developed a subject-specific, deformable lung phantom that mimics both the mechanical (elastic) and radiological (attenuation) properties of a real human lung. The phantom is designed to replicate lung deformation during respiration, integrate imaging and computational fluid dynamics (CFD) data, and be used in radiotherapy...
Published: 9/23/2025   |   Updated: 9/23/2025   |   Inventor(s): Anand Santhanam, Olusegun Ilegbusi
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems
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: 11/6/2025   |   Updated: 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
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