Medicine
Medicine

Medicine

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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.

Artificial Intelligence Biological engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Covid-19 Electrical Engineering & Computer Science (eecs) Immunology machine learning Medicine MIT Schwarzman College of Computing Pandemic Research School of Engineering Technology and society Vaccines Viruses

Creating a versatile vaccine to take on Covid-19 in its many guises

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.

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.

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3 Questions: Leo Anthony Celi on ChatGPT and medicine

The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.