The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.

A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.

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An MIT-led team has built a new system that rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.

Researchers demonstrated that medical AI systems can easily learn to recognize racial identity in medical images, and that this capability is extremely difficult to isolate or mitigate.

MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.

MIT researchers performed a large-scale, high resolution study of the cells in human breast milk, allowing them to track how these cells change over time in nursing mothers.

A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.

Researchers from MIT have created a comprehensive atlas of the types of cells found in the brain cerebrovasculature.