The pace at which companies are integrating the sophisticated tools of artificial intelligence (AI) and machine learning (ML) into their early stage drug discovery and development programs is accelerating, as evidenced by the creation of new dedicated AI-focused biopharma companies and the eagerness of drug developers to partner with AI firms. A panel at the BIO Investment Forum delved into the impact of AI on the sector and its ability to assist scientists in uncovering the intricacies of disease mechanisms and lead them toward novel drug targets.

PERTH, Australia – See-Mode Technologies has received 510(k) clearance from the U.S. FDA to market its Augmented Vascular Analysis (AVA) program that uses artificial intelligence (AI) to analyze vascular ultrasound scans to better predict stroke. Caused by plaque that ruptures in blood vessels and blocks blood flow to the brain, stroke affects roughly 15 million people per year and is the second-leading cause of death globally.

LONDON – U.S. chipmaker Nvidia Inc. is investing £40 million (US$51.9 million) in building a supercomputer in Cambridge, U.K., to be dedicated to applying artificial intelligence in drug discovery and in health care.

HONG KONG – Seoul, South Korea-based Vuno Inc. reported that it plans to list on South Korea’s Kosdaq bourse either by the end of 2020 or early next year, CTO and cofounder Kyu-hwan Jung told the 2020 Bioplus Interphex Korea Conference. After receiving A ratings in the recent technology evaluations by assessment institutions NICE D&B and Korea Enterprise Data, Vuno submitted a preliminary examination application to the bourse on July 28 that is currently underway, the company said.

Recursion Inc.’s combination of machine learning and artificial intelligence, coupled to its wet lab work, caught Bayer AG’s attention so solidly that its investment unit, Leaps by Bayer, led the charge on Recursion’s new and oversubscribed $239 million series D financing.

While the retail, security and entertainment sectors dove in early with the adoption of artificial intelligence (AI) and machine learning (ML) technologies, the life sciences sector has “been a bit of a laggard, frankly,” said Pratap Khedkar, a principal at the Evanston, Ill.-based consultant firm ZS Associates.