Scalable, parallel drug design: one researcher can run multiple campaigns simultaneously across targets and modalities From research goal to lab-ready sequences in hours: Latent-Y compresses weeks of ...

Agentic AI in pharma advances drug discovery through multi-agent systems and self-driving labs that autonomously plan, ...

Pharma is employing AI to support approval submissions by predicting how regulators will react before data is submitted.

Uncovering nature’s secrets is no easy task. The daily life of a scientist is often grueling, frustrating, and—perhaps surprisingly—boring as they repeat experiments over and over. Here’s where AI ...

AI is no longer just a support tool in drug development. This paper shows how it could help build faster, smarter, and more personalized cancer therapies, while also exposing the scientific and ...

Sanofi (ENXTPA:SAN) has entered a multi year collaboration with Owkin to co develop AI driven biopharma agents for drug research and development. The agreement includes licensing Owkin's K Pro AI ...

The assembly line upended manufacturing last century—could teams of agents do the same for white-collar work? When people say AI will speed up drug development or fear that it will bring about mass ...

On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” ...

In the United States, facilities that manufacture drugs must implement quality systems that comply with current good manufacturing practice (cGMP) regulations in 21 CFR Parts 210 and 211. While cGMP ...