Researchers use wearable tech to detect COVID-19 before onset of symptoms
Researches found that wrist-worn health devices can be combined with machine learning to detect COVID-19 infections as early as two days before symptoms appear, and this could open the door to applying the use of wearable health tech for the early detection of other infectious diseases. Wrist-worn health devices can be combined with machine learning to detect COVID-19 infections as early as two days before symptoms appear, McMaster researcher David Conen and a team of experts from across Europe have determined. The COVI-GAPP study, born out of a larger research project based in Lichtenstein, was conducted by researchers from McMaster, the Dr. Risch Medical Laboratory, the University of Basel in Switzerland and Imperial College London. Based on the team’s findings, which were published last month in BMJ Open , another group of researchers have begun a larger study, which could open the door to applying the use of wearable health tech for the early detection of other infectious diseases....