Machine-learning-aided multiplexed nanoplasmonic biosensor for COVID-19 population immunity profiling-Reference-Cited by-同舟云学术

Machine-learning-aided multiplexed nanoplasmonic biosensor for COVID-19 population immunity profiling

Published:2023 Issue:5 Volume:2 Page:1186-1198
ISSN:2635-0998
Container-title:Sensors & Diagnostics
language:en
Short-container-title:Sens. Diagn.

Author:

Beisenova Aidana¹^ORCID,Adi Wihan¹^ORCID,Bashar S. Janna²,Velmurugan Monniiesh³⁴,Germanson Kenzie B.¹^ORCID,Shelef Miriam A.²⁵,Yesilkoy Filiz¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA

2. Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA

3. Department of Computer Science, University of Wisconsin-Madison, Madison, WI 53706, USA

4. Department of Statistics, University of Wisconsin-Madison, Madison, WI 53706, USA

5. William S. Middleton Memorial Veterans Hospital, Madison, WI 53705, USA

Abstract

Vaccination and infection rates against variants of COVID-19 in Dane County, WI were determined from low-volume human sera/plasma samples with machine-learning aided nanoplasmonic biosensor. The results agree with the official epidemiological data.

Funder

Wisconsin Alumni Research Foundation

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2023/SD/D3SD00081H

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