Search Results - gyeo-re+han

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AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...

Published: 8/26/2025 | Inventor(s): Aydogan Ozcan, Shannon Wongvibulson, Paloma Casteleiro Costa, Gyeo-Re Han, Yuzhu Li

Keywords(s): Artificial Intelligence, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, artificial-intelligent materials, Computer-Aided Diagnosis, deep neural networks (DNN), Dermatology, electrochemical sensors, Medical artificial intelligence (AI), Signal Processing, Signal-To-Noise Ratio, Skin, skin protection, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health

Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Medical Devices > Monitoring And Recording Systems, Therapeutics > Dermatology, Diagnostic Markers

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: 6/13/2025 | 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

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