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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
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   |   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   |   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
Hess Screen Test Chart Digitalization Tool (Case No. 2024-164)
Summary UCLA researchers have developed a software-based digitizer for Hess Screen Test (HST) charts that automates extraction of gaze misalignment measurements across the visual field, converting paper charts into precise numerical eye-angle data. The system is faster, more repeatable, and more scalable than manual annotation. IOVS Background The...
Published: 9/16/2025   |   Inventor(s): Qi Wei, Andrew Ryan, Joseph Demer
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems
Virtual Angiography for Aneurysm Risk Assessment (Case No. 2025-256)
Summary UCLA researchers have developed a virtual angiography system for aneurysm risk assessment that uses computational fluid dynamics (CFD) and patient-specific vascular reconstructions to identify unstable cerebral aneurysms. By simulating blood flow and contrast transport, the system produces virtual angiograms and calculates diagnostic metrics...
Published: 9/12/2025   |   Inventor(s): Juan Cebral, Naoki Kaneko
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Diagnostic Markers
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: 10/24/2025   |   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
Ingestible Device for Medical Interaction With the Gastrointestinal Tract and Surrounding Tissues (Case No. 2024-226)
Summary: UCLA researchers have conceptualized an ingestible, self-powered, and wireless capsule that can be used to effectively diagnose and treat gastrointestinal disorders. Background: Gastrointestinal (GI) disorders, including conditions like irritable bowel syndrome, Crohn’s disease, and gastroparesis, impact millions of people worldwide...
Published: 8/12/2025   |   Inventor(s): Wentai Liu, Ryan Kochis, Brian Arianpour, Alejandro Miron Jabalera
Keywords(s): Biosensor, brain-gut microbiome, Gastroenterology, Gastroenterology & Digestive Disease, gastrointestinal (GI) tract diseases, gut inflammation, Human Gastrointestinal Tract, minimally invasive device, Neuromodulation, wireless capsule endoscopy
Category(s): Therapeutics > Inflammation And Inflammatory Diseases, Therapeutics > Gastroenterology, Software & Algorithms > Digital Health, Medical Devices > Monitoring And Recording Systems, Mechanical > Sensors, Chemical > Chemical Sensors, Life Science Research Tools > Screening Libraries
A Diagnostic Epigenetic Score for Determining the Effect of Biomarkers for Asthma Drug Response (UCLA Case No. 2024-106)
UCLA researchers in the Department of Computational Medicine have developed a novel machine learning algorithm to generate an accurate molecular score for determining asthma drug response. BACKGROUND: Asthma is a globally prevalent, high-burden disease marked by substantial clinical heterogeneity and variable treatment response. This heterogeneity...
Published: 7/17/2025   |   Inventor(s): Elior Rahmani
Keywords(s):  
Category(s): Platforms > Diagnostic Platform Technologies, Diagnostic Markers > Targets And Assays, Software & Algorithms > AI Algorithms, Software & Algorithms > Digital Health, Therapeutics > Inflammation And Inflammatory Diseases
Batch Processing Automation for Imaris Stitcher (Case No. 2025-089)
Summary: Researchers in UCLA’s Department of Neurobiology have developed a novel software tool that enhances the capabilities of Imaris Stitcher. The tool enables batch processing and automated execution of multiple image stitching jobs, significantly improving workflow efficiency and reducing hands-on time. This results in readily available,...
Published: 7/14/2025   |   Inventor(s): Ian Bowman, Mitchell Rudd, Hong Wei Dong
Keywords(s): 3D tissue imaging, 3D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, bioimaging, Cell Counting/Imaging, cell imaging, cell mapping, computational imaging, Data Acquisition, Data Aggregator, Data Analytics, Data Recovery, Data Structure, Fluorescence Microscope, histopathology images, Image Analysis, image restoration, image signal processing, Imaging, Magnetic Resonance Imaging, Medical artificial intelligence (AI), Medical Imaging, Microscope, Microscopy, Microscopy And Imaging, Molecular Imaging, multi-contrast imaging, Neuroimaging, non-invasive imaging, pathology image analysis, Phase-Contrast Imaging, three dimensional imaging, volumetric image
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing
Non-invasive Pain Measurement of Infants and Toddlers Using Acoustic Features of Cries (Copyright; Case No. 2018-327)
Summary: Researchers in the UCLA Semel Institute for Neuroscience and Human Behavior have developed a novel, non-invasive pain measurement tool for neonates. Background: Pain management in neonatal care remains a critical unmet need. Approximately 90% of premature infants undergo painful procedures, yet pain is only reported in 45% of cases. Current...
Published: 4/21/2025   |   Inventor(s): Ariana Anderson
Keywords(s): acoustics, artificial intelligence/machine learning models, Digital Signal Processing, Machine Learning Pain Management, Monitoring (Medicine), non-invasive monitoring, Pain Treatment, pediatrics
Category(s): Diagnostic Markers > Pediatrics, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > AI Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Therapeutics > Critical Care, Therapeutics > Psychiatry And Mental Health
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