Search Results - medical+devices

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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

Quantitative Myositis Lung Disease Score (QMS): Machine Learning Techniques for Quantitative CT Scoring in Myositis Lung Disease (Case No. 2026-189)

Summary: UCLA researchers in the Department of Radiological Sciences have developed a quantitative imaging tool designed to standardize the diagnostic scoring of myositis lung disease (MLD) for improved patient intervention and monitoring. Background: Myositis lung disease (MLD) is a complex autoimmune condition characterized by muscle inflammation...

Published: 6/4/2026 | Inventor(s): Matthew Brown, Sangmee Bae, Grace Hyun Kim, Jonathan Goldin

Keywords(s):

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > CT, Life Science Research Tools > Microscopy And Imaging, Life Science Research Tools, Electrical, Electrical > Signal Processing, Electrical > Instrumentation, Electrical > Imaging

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 | 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

A Dual-Coil Wireless Power and Data Transfer Floor for Freely Moving Rodents (Case No. 2025-313)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a dual-coil wireless power and data transfer floor for battery-free implantable devices in freely moving rodents, enabling long-term behavioral and physiological studies in standard animal research chambers. Background: Traditional implantable medical...

Published: 5/15/2026 | Inventor(s): Aydin Babakhani, Iman Habibagahi

Keywords(s): Neuromodulation

Category(s): Medical Devices, Medical Devices > Neural Stimulation, Medical Devices > Surgical Tools, Medical Devices > Hospital Systems

XR Platform for Personalized Neurological Rehabilitation and Diagnostics (Case No. 2025-99L)

Summary: UCLA researchers in the Department of Neurology have developed a novel AI-driven mixed reality headset for precision stroke rehabilitation. Background: Stroke is a leading cause of long-term motor disability, often requiring prolonged and intensive rehabilitation to restore motor function. Current methods for evaluating motor impairments...

Published: 5/13/2026 | Inventor(s): Ahmet Arac, Nicolas Jeong Lee, John Krakauer

Keywords(s):

Category(s): Electrical, Electrical > Displays, Electrical > Visual Computing, Electrical > Visual Computing > AR/VR/Mixed Reality, Medical Devices, Medical Devices > Monitoring And Recording Systems, Therapeutics, Therapeutics > Musculoskeletal Disease, Therapeutics > Psychiatry And Mental Health

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

Clinical Score for Predicting Response to Interventions in Glaucoma Patients (Case No. 2026-122)

Summary: UCLA researchers in the Department of Computational Medicine have developed a novel machine learning-based clinical support tool to personalize first-line glaucoma treatment. Background: Glaucoma is a heterogeneous, progressive eye disease that is a leading cause of irreversible blindness. Despite the emergence of improved diagnostic tools,...

Published: 4/22/2026 | Inventor(s): Elior Rahmani, Arush Ramteke, Shahin Hallaj, Sally Baxter

Keywords(s):

Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Hospital Systems

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

Safe Reorientation After a Single Entry Targeted Biopsy Needle Insertion (Case No. 2024-215)

Summary: UCLA researcher Sara Babapour has developed a biopsy guidance platform featuring a flexible, artifact-generating sheath that enables safe, multi-directional navigation and improved trajectory measured visualization during image-guided tissue sampling. The technology is designed to reduce multiple needle insertions and improve time efficiency...

Published: 4/6/2026 | Inventor(s): Sara Babapour

Keywords(s):

Category(s): Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Medical Devices > Surgical Tools

Deep Learning-Enhanced Dual-Mode Multiplexed Optical Sensor for Point-Of-Care Diagnostics of Cardiovascular Diseases (Case No. 2026-178)

Summary: UCLA researchers in the Departments of Electrical and Computer Engineering and Bioengineering have developed a deep-learning-enhanced multiplexed optical biosensing platform that enables rapid, high sensitivity point-of-care quantification of multiple cardiac biomarkers for cardiovascular diagnostics. Background: Rapid and accessible cardiac...

Published: 3/24/2026 | Inventor(s): Aydogan Ozcan, Dino Di Carlo, Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz

Keywords(s): Biomarker, biomarkers, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular monitoring, cardiovascular therapeutic solution, Deep Learning, Deep learning-based sensing, deep neural networks (DNN), neural network, neural networks, Optics, Point Of Care, point-of-care, point-of-care testing

Category(s): Electrical, Optics & Photonics, Diagnostic Markers, Medical Devices > Cardiac, Medical Devices

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