A Berlin-based startup whose mobile health app uses AI to help people manage chronic digestive problems has raised $7 million in Series A funding. The company intends to spend the bulk of the money getting the app in the hands of gastrointestinal patients in the U.S.

Researchers have developed an algorithm to help assess the response of Parkinson’s patients to medication while clinicians are at work and the patients are typing on personal computers in their homes.

Researchers have demonstrated two machine learning techniques that, when combined to analyze social-media posts, can boost early detection of clinical depression by 10% over the current state of the art.

Kaiser Permanente, the Oakland, California-based health system, is building a new headquarters in the same city. The new headquarters, which is called Kaiser Permanente Thrive Center and will accommodate 7,200 national and Northern California Region employees and physicians, comes with a price tag of about $900 million, according to the San Francisco Chronicle.

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.