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.

The coronavirus crisis continues to unite heretofore unaffiliated technology powerhouses at the forefront of AI and other forms of IT innovation in healthcare. The trend continued March 26 with the launch of a multifaceted, far-flung and very well-funded institute.

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

Two data scientists say they’ve created AI algorithms that can do in a week what biological researchers might otherwise spend years trying to pull off in a laboratory: discover antibody-based treatments that have a fighting chance to beat back COVID-19.