Speeding up drug discovery with diffusion generative models

MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.

algorithms artificial intelligence computer science and technology diffusion discovery drug development drug discovery drugs effects faster generative generative models jameel clinic machine learning medicine mit mit schwarzman college of computing pharmaceuticals reduce research researchers school of engineering