Combing social networks and pharmaceutical databases using heterogeneous network mining allowed a team from Drexel University to better identify therapies suitable for drug repositioning, according to work published in Artificial Intelligence in Medicine.

It’s been 33 years since the federal government began requiring hospitals to take in patients after stabilization in the ED if the case called for admission and the hospital had the clinical expertise to provide the extended care. Yet Medicaid patients and the uninsured still have higher odds of getting transferred than those with high-quality insurance plans.

Researchers at Ghent University in Belgium have tapped AI to help track the development of organisms at the level of the individual cell.

A free web tool known as “Chester the AI Radiology Assistant” can assess a person’s chest X-rays online within seconds, ensuring patients’ private medical data remains secure while predicting their likelihood of having 14 diseases.

Machine learning approaches including deep learning and random forest greatly improved a University of Nottingham team’s ability to predict premature death in a study of half a million U.K. Biobank participants, according to research published in PLOS One.

The Mount Sinai Health System and Germany’s Hasso Plattner Institute (HPI) announced March 29 they’re collaborating to create the joint Hasso Plattner Institute for Digital Health at Mount Sinai, an affiliation the institutions say will combine medicine and tech to deliver powerful digital health tools.

A trio of scientists who laid the groundwork for AI research in the '80s have been named the winners of the 2018 Association for Computing Machinery’s A.M. Turing Award, commonly referred to as the “Nobel Prize of Computing.”

An AI model developed by a startup in Kentucky is analyzing insurance claims databases to flag expectant mothers at the greatest risk of giving birth to a preterm baby, Wired reported March 26.