We are glad that Isomorphic is helping advance the field and are able to match the level of performance we demonstrated at the ARDD conference in Copenhagen last August. In August, Deep Origin ...

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.

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

Avner Schlessinger, PhD, right, working with his lab researchers at Mount Sinai AI Small Molecule Drug Discovery Center in New York City. [Mount Sinai] Most breakthrough discoveries are made based on ...

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 ...

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 ...