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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