IBM, along with KPMG, Merck and Walmart have been selected by the FDA to participate in a blockchain project that aims to improve the drug supply chain.

A San Francisco-based startup that uses a proprietary machine-learning platform to identify the care needs of covered employees has raised $205 million to “address fundamental health insurance service issues that plague U.S. consumers and employers alike.”

The diagnosis and treatment of a gut disease that can cause permanent damage in children can be sped up by the application of machine learning, according to researchers from the University of Virginia schools of Engineering and Medicine.

Radiology is the medical specialty most conducive to clinical AI applications. After all, the pre-AI technique of computer-aided detection has been used in mammography since 1998, for example. So it shouldn’t come as a surprise to find AI “app stores” rising in radiology.

Deep learning could help catch drug dealers who use social media to connect with customers, according to a study conducted at UC-San Diego and published June 14 in the Journal of Medical Internet Research.

AI is aiding in the diagnosis of several diseases and health risks, and researchers have recently found that machine learning can help predict the onset of psychosis, a debilitating mental disorder that can compromise an individual’s psychology and their ability to think and feel.