Marasco examining real-time COVID-19 detection via analysis of sweat metabolite biometrics
Emanuela Marasco, Assistant Professor, Center for Secure Information Systems (CSIS), is working to determine whether COVID-19 could be diagnosed via sweat metabolites. If so, this method could enable diagnosis of the virus via non-invasive real-time means. The concentrations of the biochemical content in human sweat have been measured using reagent kits and instruments, such as…