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Artificial Intelligence Biological engineering Biology Broad Institute Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Mechanical engineering MIT Schwarzman College of Computing open source Research School of Engineering

MIT scientists build a system that can generate AI models for biology research

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

Antibiotics Artificial Intelligence Biological engineering Drug discovery Drug resistance Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning MIT Schwarzman College of Computing Research School of Engineering

Using AI, scientists find a drug that could combat drug-resistant infections

The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Government Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing School of Engineering Special events and guest speakers

Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.

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.