When Windy City residents send out tweets containing the term “food poisoning,” an algorithm offers a form for sharing details with Chicago’s public-health officials. Why not do the same with keywords like “cough,” “fever” and “trouble breathing” to help track COVID-19?

The Finnish maker of the Oura health-tracking finger ring is sponsoring a two-pronged, AI-aided COVID-19 study at the University of California, San Francisco (UCSF).

Stanford researchers have developed a way to screen for lung cancer by combining next-gen molecular DNA quantification with machine learning. The experimental technique requires only a blood test and could, with refinement, replace low-dose CT scanning as an initial exam for longtime smokers.

Scripps Research is recruiting volunteers to contribute anonymized data on their resting heart rate and, optionally, to report signs of viral illness like fever or coughing.

Gov. Andrew Cuomo is looking for skilled IT workers to volunteer for 90-day stints as members of a COVID-19 “technology SWAT team.”

The White House is working with IBM and the U.S. Department of Energy to launch a sprawling public-private consortium aimed at rapidly “unleashing the full capacity of America’s world-class supercomputers” to fight COVID-19.

The idea is to initially place the device in medical waiting areas, from where it would help prepare staff for caseload ebbs and flows. Later it might be set in larger public spaces, helping to monitor epidemiological trends at the population level.

OSF Health is leveraging AI to help patients better understand the risks of contracting COVID-19 and navigate care types based on their symptoms.