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Title: COVID-19 Immunity Monitoring Using a Multiplexed Paper-Based Assay and Machine Learning
Monitoring the level of COVID-19 immunity within populations is crucial for understanding the disease trend and guiding public health policies, as SARS-CoV-2 remains a threat. Serological testing is essential in assessing immunity by detecting antibodies, IgG, and IgM, the immune system's response developed against infection or after vaccination. To rapidly and cost-effectively monitor COVID-19 immunity levels, we developed a paper-based multiplexed vertical flow immunoassay (xVFA) which detects the IgG and IgM levels in less than 20 mins, aiming to monitor the COVID-19 immunity levels of individuals longitudinally and categorize immune levels into three groups: protected, unprotected, and infected.  more » « less
Award ID(s):
2149551
PAR ID:
10534024
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
24th Annual University of California Systemwide Bioengineering Symposium
Date Published:
Format(s):
Medium: X
Location:
San Diego, CA
Sponsoring Org:
National Science Foundation
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