News & Events

Distinctive EEG patterns indicate when a patient’s state of unconsciousness under general anesthesia is more profound than necessary.

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

Award recognizes scholars who have the “extraordinary creativity necessary to tackle problems others can’t solve.”

The $90,000 merit-based fellowship funds graduate studies for outstanding immigrants and children of immigrants. Ten MIT students and alumni, including three students enrolled in the Harvard-MIT Health Sciences and Technology (HST) MD program, are among the 30 recipients of this year’s Paul and Daisy Soros Fellowships for New Americans. The…

On Wednesday, May 27, the Harvard-MIT Program in Health Sciences and Technology (HST) held its first ever online graduation ceremony and celebration. ​On Wednesday, May 27, the Harvard-MIT Program in Health Sciences and Technology (HST) held its first ever online graduation ceremony and celebration, honoring the 2020 graduates in the…

A study by MIT researchers, including an IMES faculty member, suggests forcing bacteria to burn more energy could make them more susceptible to antibiotics. Bacteria have many ways to evade the antibiotics that we use against them. Each year, at least 2.8 million people in the United States develop an…

There were 54 clinician-scientists in this year’s graduating class, 35 attended the ceremony

Leo Anthony Celi, IMES-based researcher, invites industry to broaden its focus in gathering and analyzing clinical data for every population.

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

Award honors researchers who “have had a direct impact on business and industry through their scientific achievements and contributions.”