AI startup Immunai has announced it’s working to map the entire human immune system with $20 million in seed funding to push the project along.

An experimental set of algorithms has achieved accuracy of 70% to 80% at predicting which of 53 COVID-positive patients at two hospitals in China would get the sickest.

Despite the inroads AI has made into many medical specialties, the technology has failed to find a foothold in primary care. Why is that?

How has digital health contributed to the fight against COVID-19? What kinds of outcomes has it produced? What have been some unintended consequences of its deployment?

The most commonly missed condition seems to be spinal abscess, an infection that can cause paraplegia yet was fumbled in more than 62% of cases.

As analyzed by the Kaiser Family Foundation, the outlook for job-based insurance under some post-COVID scenarios is unsurprisingly bleak.

Fresh off an investment infusion of $25 million, a tech startup has launched an ambitious virtual consortium to seek “breakthrough medical discoveries and actionable findings” for the global battle against COVID-19. 

The University of Pennsylvania is teaming with Intel to lead a federation of more than two dozen medical and research centers on an AI system for identifying brain tumors.

Researchers in the U.K. and U.S. have developed an automatic prediction model that can tell if someone is infected with COVID-19 based on symptoms alone.

A $3 trillion coronavirus relief bill proposed by House Democrats May 12 would allocate around $100 billion for hospitals and other healthcare providers to cover costs related to the public-health crisis.