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.

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

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.

Cleveland Clinic this month announced it’s launching a Center for Clinical Artificial Intelligence (CCAI) dedicated to the development and application of AI in medicine.

French pharmaceutical startup Pharnext is leveraging AI and pleiotropy to develop new drug combinations and repurpose existing therapies, Fortune reported March 19.

The FDA on March 7 granted Breakthrough Device designation to Paige.AI, a year-old New York startup that’s using AI to help diagnose and treat cancer, the company announced.

Deep learning is an important element of AI that’s helping advance diagnostics and treatment, but it also remains relatively uncharted territory.

Using big data and AI-driven prediction models can be clinically useful, but it’s also important to learn about that data and the processes involved in collecting it, according to work published in JAMA Psychiatry.

Multinational investment holding conglomerate Tencent is working with the Shanghai Cancer Center to establish an AI-based, big data laboratory to streamline the cancer treatment process, according to a report by Shine, a digital news organization under Shanghai Daily.

Dana Solutions, a California-based AI company, is partnering with the FDA’s Center for Drug Evaluation and Research to improve the drug development process by using AI, the company announced Feb. 25.