Search Results - merve+eryilmaz

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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

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing (Case No. 2025-128)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering & Bioengineering have developed a novel, high-sensitivity chemiluminescence vertical flow assay for rapid cardiac diagnostics, addressing current challenges in both modern and underserved healthcare settings. Background: Point-of-care (POC) testing is performed...

Published: 10/17/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo, Merve Eryilmaz

Keywords(s):

Category(s): Chemical, Chemical > Instrumentation & Analysis, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Electrical > Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Therapeutics, Therapeutics > Cardiovascular