Researchers have developed a deep-learning framework that can show how mutations in “noncoding DNA”—meaning parts of the strand that contain no genes—contribute to autism. And they believe their algorithm is generalizable for clinical researchers studying the role of noncoding mutations in just about any disease.

The U.K. is taking on a big pilot program with 500,000 people being remotely monitored at home using AI to analyze all the incoming data. The program by the National Health Service underscores where AI is likely to have the biggest impact in healthcare––non-consumption, or areas where there isn’t an affordable or convenient solution for consumers.

A peer-reviewed journal has put out a call for papers to publish in an upcoming special issue on cutting-edge uses of AI in early-phase drug development.

Researchers in China have developed a deep learning algorithm able to diagnose hyperlipidemia—elevated levels of cholesterol, fats and triglycerides in the bloodstream—in both blood and urine specimens, potentially giving clinicians more information with less expense to the patient.  

French researchers are designing an AI-based system to show diabetic patients their overall glycemic state in a readily understandable graphic display.

The promised, less expensive insulin product from pharmaceutical company Eli Lilly has officially come to market, the company announced May 22.

A Google-affiliated company is taking on clinical trials with the pharmaceutical industry, CNBC reported. The health and life sciences business of Google’s parent company Alphabet has launched strategic alliances with Novartis, Sanofi, Otsuka and Pfizer to work in the medical studies space.

Deep learning can help diagnose skin cancer with high accuracy even when it has only low-tech dermoscopic images to work with, according to research conducted in Israel and published in The Lancet’s online journal eBioMedicine.