Source: healthitanalytics.com March 24, 2020 – Researchers at the University of Massachusetts Amherst (UMass Amherst) have developed a portable surveillance tool that leverages machine learning and real-time data to monitor flu-like illnesses and flu patterns. The device, called FluSense, can detect coughing sounds and crowd size in real time, and could add to the collection of tools used to Read More