Neural network detects asymptomatic Covid-19 infections through cellphone-recorded cough

they found it was able to pick up patterns in the four biomarkers — vocal cord strength, sentiment, lung and respiratory performance, and muscular degradation — that are specific to Covid-19. The model identified 98.5 percent of coughs from people confirmed with Covid-19, and of those, it accurately detected all of the asymptomatic coughs.

“We think this shows that the way you produce sound, changes when you have Covid, even if you’re asymptomatic,” Subirana says.
— Read on news.mit.edu/2020/covid-19-cough-cellphone-detection-1029