Pharmaceuticals
Pharmaceuticals

Pharmaceuticals

Algorithms Artificial Intelligence Chemical engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Health Care Industry machine learning Manufacturing Mechanical engineering Medicine Pharmaceuticals Research School of Engineering

Researchers develop novel AI-based estimator for manufacturing medicine

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug development Drug discovery Electrical Engineering & Computer Science (eecs) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Research School of Engineering

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 Biology Brain and cognitive sciences Chemical engineering Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Drug development Electrical Engineering & Computer Science (eecs) Industry Institute for Medical Engineering and Science (IMES) machine learning Mechanical engineering Medicine MIT Schwarzman College of Computing MIT Sloan School of Management Pharmaceuticals School of Engineering School of Science

MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.