Machine-learning-aided multiplexed nanoplasmonic biosensor for COVID-19 population immunity profiling
Aidana Beisenova, Wihan Adi, S. Janna Bashar, Monniiesh Velmurugan, Kenzie B. Germanson, Miriam A. Shelef, Filiz Yesilköy
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.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Profiling (computer programming)BiosensorVaccinationPopulationVirologyComputer scienceComputational biologyMedicineNanotechnologyMaterials scienceBiologyPathologyEnvironmental healthInfectious disease (medical specialty)DiseaseOperating systemSARS-CoV-2 and COVID-19 ResearchSARS-CoV-2 detection and testingCOVID-19 diagnosis using AI