Search Results - hyou-arm+joung

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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: 11/13/2024   |   Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyou-Arm 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
Field-Effect Transistor Biosensors Integrated With Porous Media (Case No. 2023-093)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering in collaboration with the University of Chicago have developed a new diagnostic biosensor by combining field-effect transistors with porous media. Background: Point-of-care (POC) and self-testing tools rely on the real-time monitoring of biomarkers in bodily fluids....
Published: 4/1/2024   |   Inventor(s): Aydogan Ozcan, Hyou-Arm Joung, Hyun-June Jang, Junhong Chen
Keywords(s): Biomarker, biomarkers, Biomaterial, Biosensor, Computer-Aided Diagnosis, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Electrical, Electrical Engineering, electrically-mediated sensing, electrochemical sensors, enzyme functionalization, Medical diagnostics, multiplexed analysis, Point Of Care, point-of-care, porous media, sample matrix effects, transistors
Category(s): Electrical, Electrical > Sensors, Medical Devices, Medical Devices > Monitoring And Recording Systems, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Platforms, Platforms > Diagnostic Platform Technologies
2021-333 Quantitative Particle Agglutination Assay for Point-Of-Care Testing Using Mobile Holographic Imaging and Deep Learning
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a method that increases the sensitivity of particle agglutination assays and reduces the required sample volume. Background: Particle agglutination assays are simple immunological tests that can be utilized to diagnose a wide range of illnesses. These...
Published: 11/15/2024   |   Inventor(s): Aydogan Ozcan, Hyou-Arm Joung, Yi Luo
Keywords(s):  
Category(s): Diagnostic Markers > Targets And Assays, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics > Holography
Measurement of Serum Phosphate Levels Using a Mobile Sensor (Case No. 2019-949)
Summary: Researchers in the Department of Electrical and Computer Engineering have built a portable and cost-effective, point-of-care smartphone attachment capable of measuring serum phosphate levels using a single drop of blood (<60 μl). Background: Managing elevated serum phosphate levels is crucial for patients with advanced chronic kidney...
Published: 10/30/2024   |   Inventor(s): Aydogan Ozcan, Aniruddha Ray, Hyou-Arm Joung, Isidro Salusky
Keywords(s):  
Category(s): Software & Algorithms > Digital Health, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Chemical > Chemical Sensors