After sharing word that it would be prioritizing artificial intelligence to aid discovery work, Takeda Pharmaceuticals has ...

Explore AI in drug discovery and its journey from promise to proof in 2025 with significant achievements and challenges faced.

AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome sequencing, metabolomics, and systems biology have generated vast datasets, but ...

AI boosts efficiency in early, high-failure R&D, improving success rates and capital efficiency across biotech and pharma.

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and ...

(RTTNews) - XtalPi (2228.HK) announced an expanded research collaboration with Pfizer (PFE) to develop a next-generation molecular modeling platform for drug discovery. The initiative aims to enhance ...

Eli Lilly and Nvidia are partnering to build what the companies call the pharmaceutical industry's "most powerful" supercomputer and so-called AI factory to help accelerate drug discovery and ...

A new AI tool has been shown to identify treatments designed to reverse disease states in cells up to 25 times quicker, more efficiently and more accurately than previous models. Researchers from ...

TOKYO--(BUSINESS WIRE)--Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter “Elix”) is pleased to announce that its AI drug discovery platform, Elix ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...