Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical development.

The pharmaceutical industry is on the verge of a significant transformation due to the emergence of artificial intelligence ...

Under an alliance framework with AstraZeneca, Merck, and Eli Lilly and Company leading as founding participants, the Atlas is already in build for a curated set of cell lines to drive drug target ...

TRPML1 is a promising target1 for Parkinson’s disease treatments and identifying translational biomarkers will help confirm target engagement ...

This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...

Artificial intelligence (AI) is transforming the life sciences industry, with potentially its most significant impact on drug ...

Nvidia is no longer content to be the chip supplier behind other companies’ biotech ambitions. With a multibillion dollar ...

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 ...

Illumina unveiled the Billion Cell Atlas, a large‑scale genetic perturbation dataset built with pharma partners to advance AI‑powered drug discovery, target validation, and disease biology.

Quantum systems can simulate molecular interactions at a level of fidelity that classical computers cannot achieve. They can ...

The Mystra platform, developed over 10 years, offers biopharma partners proven analytical power to turn months of R&D into minutes, dramatically increasing the availability of quality genetic insights ...