On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume, spanning 27 chapters authored by leading international ...

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

(Graph) today announced a strategic partnership to create one of the largest and most comprehensive immune cell perturbation atlases. The collaboration will leverage Graph's lab-in-the-loop platform ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

(L) First and co-corresponding author Charlie Wright, PhD, St. and (R) co-corresponding author Paul Geeleher, PhD, both of the St. Jude Department of Computational Biology. (MEMPHIS, Tenn. – December ...

Explore the impact of drug discovery automation in 2026, addressing complexity and improving decision-making across ...

Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the department of computer science and the AI faculty lead at MIT Jameel Clinic. She develops machine learning ...

INDIANAPOLIS, Sept. 9, 2025 /PRNewswire/ -- Eli Lilly and Company (NYSE: LLY) today announced the launch of Lilly TuneLab, an artificial intelligence and machine learning (AI/ML) platform that ...

Even though AI-designed drugs aren’t yet a household term for FDA-approved, commercially available therapies, they are a reality in clinical development pipelines. In spring 2024, CBER reported more ...