Clinical Research Directory

Hyperspectral Analysis of Sweat Metabolite Biometrics for Real-Time Detection of COVID-19

Sponsor: National Cancer Institute (NCI)

Summary

Background: The COVID-19 pandemic has challenged the health systems worldwide. Many tools have been developed in response to the pandemic, but there is no current way to quickly screen multiple people for the disease. Research has shown that people with COVID-19 have higher levels of some proteins involved in the immune response and inflammation. These proteins can be detected in sweat using a special camera. Researchers want to see if analysis of sweat from fingerprints could be used to detect COVID-19 infection in people. Objective: To test a new technology to detect COVID-19 infection based on an analysis of sweat from fingerprints. Eligibility: Adults ages 18 and older who tested positive or negative for COVID-19 within the last 7 days. Design: Participants will visit the NIH Clinical Center for one day within 7 days from COVID-19 testing. The visit will last for 3 to 4 hours. Participants who show symptoms for COVID-19 with a positive test will give blood samples to correlate with the sweat markers. About 1/2 tablespoon of blood will be drawn. For sweat markers, 10 fingers will be imaged by a camera using a touchless system. This will be repeated 3 times. It will take about 15 minutes. Participants will use the device. They will get instructions and watch a short video on how to use the device.

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