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.

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.

Patient engagement is increasingly the order of the day in the device development process as the U.S. FDA has made clear, a consideration that drove the Oct. 22 FDA advisory hearing. A patient representative said patients want to take part as early as possible in the development process for software as a medical device (SaMD), and Pat Baird, director of global software standards for Royal Pillips NV, said industry is very much open to ideas about bringing the patient perspective on board earlier in that process.

Researchers at Israel’s Ben-Gurion University have launched a machine learning platform that aims to streamline the clinical trial process using predictive analytics. The technology has been licensed to Panacea, a startup company formed by BGN Technology.

An artificial intelligence machine learning model that mines electronic health record data could help physicians fight the opioid epidemic by targeting non-opioid pain treatments to patients experiencing severe pain after surgery, according to new research presented at the Anesthesiology 2020 annual meeting.

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.

Two studies seek to answer the most pressing question for physicians examining a patient with COVID-19: What's this person's risk of death? Mount Sinai researchers presented their clinical prediction model in The Lancet Digital Health and a team from Johns Hopkins published their risk calculator in the Annals of Internal Medicine.

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.

Investigators have developed a new approach to classifying neurodegenerative disorders that used the overall patterns of protein aggregation, rather than specific proteins, to define six clusters of patients that crossed traditional diagnostic categories.