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A contactless, portable surveillance device, developed by a team at the University of Massachusetts Amherst (UMass), can capture crowd-level bioclinical signals directly related to physical symptoms of influenza-like illnesses from public waiting areas in an unobtrusive manner in real time, then analyze the data to directly monitor flu-like illnesses and influenza trends. The health surveillance device, called FluSense, is powered by artificial intelligence (AI). It could be used in hospitals, waiting rooms, and larger public spaces to forecast seasonal flu and other viral respiratory outbreaks, such as the COVID-19 pandemic or SARS.
FluSense uses a microphone array and a thermal camera along with a neural computing engine to…READ MORE