Search Results - cardiovascular+diseases

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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

A Dynamic and Adaptive Approach for Resolving Motion (Case No. 2024-250)

Summary: UCLA researchers in the Department of Radiology have developed a novel method to capture time-varying and irregular cardiac motion, producing high-precision, high-quality cine images. Background: Cine MRI is a specialized imaging technique that captures motion through a series of images, often used to evaluate cardiac function and morphology....

Published: 4/21/2025 | Inventor(s): Zhengyang Ming, Dan Ruan, Anthony Christodoulou, Kim-Lien Nguyen

Keywords(s): arrhythmia, Biomonitoring, Cardiac Magnetic Resonance Imaging, cardiovascular diseases, cardiovascular monitoring, Image Resolution, Imaging, Magnetic Resonance Imaging, Medical Device, medical device cardiac monitoring, Medical Imaging, Monitoring And Recording Systems, MRI, non-invasive cardiac monitoring, optimization

Category(s): Medical Devices, Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Medical Devices > Monitoring And Recording Systems

Synchronized Biventricular Heart Pacing Using Wirelessly Powered Leadless Pacemakers (Cases 2019-237 & 2020-401)

Summary: UCLA researchers in the department of electrical and computer engineering have developed a device for synchronized biventricular pacing. Background: Many patients with impaired cardiac function suffer from ventricular desynchrony, a condition that involves a lack of synchronization between the contractions of the left and right ventricles...

Published: 7/17/2025 | Inventor(s): Aydin Babakhani, Hongming Lyu, Medhi Razavi, Mathews John, Allison Post

Keywords(s): acute myocardial infarction, cardiac cycle, Cardiac failure, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular modeling, cardiovascular monitoring, cardiovascular prediction, cardiovascular therapeutic solution, medical device cardiac monitoring, non-invasive cardiac monitoring, tachycardia

Category(s): Medical Devices, Medical Devices > Cardiac, Medical Devices > Monitoring And Recording Systems

Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification (Case No. 2024-179)

Summary: UCLA researchers from the Departments of Electrical and Computer Engineering and Bioengineering have developed a novel assay for point-of-care testing for acute myocardial infarction. Background: Cardiovascular diseases are responsible for a substantial number of deaths and economic burdens. Acute myocardial infarction (AMI) is an event...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo

Keywords(s): acute myocardial infarction, Assay, Bioassay, biological assays, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular modeling, cardiovascular prediction, cardiovascular therapeutic solution, deep-learning analysis algorithms, Flow Device, heart disease mitigation, high-sensitivity cardiac troponin I, Immunoassay, Laminar flow, nanoparticle amplification chemistry, point-of-care testing, Targets And Assays, vertical flow assay

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Platforms, Platforms > Diagnostic Platform Technologies, Diagnostic Markers, Diagnostic Markers > Targets And Assays