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.
Fulbright US Student Program funds opportunities for research, graduate study, and teaching abroad.
A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.
In stepping down as co-director of the Harvard-MIT Program in Health Sciences and Technology, Brown will work to develop a new center for anesthesiology research.
A computational study shows that dozens of mutations help the virus’ spike protein evade antibodies that target SARS-CoV-2.
Seniors David Darrow and Tara Venkatadri and HST student James Diao will pursue master’s programs at Cambridge University.
The physician, scientist, and professor has made influential contributions to the Harvard-MIT Program in Health Sciences and Technology since it began 50 years ago.
Graduate students perform Martinů’s “Piano Trio in D Minor,” originally commissioned for Hayden Library's 1950 dedication.
The prevalence of auditory symptoms in Covid-19 patients is unknown, but infection of the inner ears may be responsible for hearing and balance problems.
Professors Linda Griffith and Feng Zhang along with Guillermo Ameer ScD ’99, Darrell Gaskin SM ’87, William Hahn, and Vamsi Mootha recognized for contributions to medicine, health care, and public health.
For the past seven years, the MIT University Center for Exemplary Mentoring has created a robust infrastructure of resources, people, and support.
The PhD student uses machine learning as a tool for studying pain and consciousness — and as subject matter for her popular videos.
The Space Exploration Initiative supports research across and beyond MIT in two microgravity flights this spring.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.