Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established constraints. Generative AI turns that on its head. It is an expansive force, ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Robots are now doing what once took chemists months, building potential antibiotics in days as drug resistance tightens its grip on the world. In a striking demonstration of automated chemistry, ...

The effectiveness of non-clinical drug safety predictions is enhanced by the adoption of three-dimensional (3D) cellular models. 3D bioprinting enables the generation of complex models with spatial ...