Biomedical Sciences + Engineering

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July 15, 2022

Artificial intelligence model finds potential drug molecules a thousand times faster

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.

July 15, 2022

Martha Gray named Whitaker Professor in Biomedical Engineering

Martha Gray, PhD, professor of Electrical Engineering and Computer Science (EECS), has been appointed as the Whitaker Professor in Biomedical Engineering, effective July 1. Martha is also a

June 23, 2022

Collin Stultz named co-director and MIT lead of the Harvard-MIT Program in Health Sciences and Technology

MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.

February 4, 2022

Seeing into the future: Personalized cancer screening with artificial intelligence

Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.

December 13, 2021

Machine-learning system flags remedies that might do more harm than good

The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.

December 2, 2021

2021 EECS Awards

It’s nearing the end of 2021, and we want to celebrate the accomplishments and contributions of our incredible EECS community by sharing some of the awards given by

November 29, 2021

James Fujimoto named 2022 recipient of the IEEE Medal for Innovations in Healthcare Technology

James Fujimoto, the Elihu Thomson Professor in Electrical Engineering, has been named the 2022 recipient of the IEEE Medal for Innovations in Healthcare Technology. In the award citation,

MLK Scholar Valencia Koomson: Research and Reflections

MLK Visiting Professor Valencia Koomson discusses her journey to a career in electrical engineering, her research in bioelectronics and mobile health technology, and her commitment to broadening participation in engineering.

Doctoral Thesis: Ultrasound-based Noninvasive Monitoring Methods for Neurocritical Care

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