From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
MIT spinoff Fitnescity makes it easier for users to schedule health tests, work with physicians, and interpret results.
Nikos Trichakis applies the tools of operations research to a wide range of problems, from medicine to corporate finance.
Paper-based blood test developed by SMART researchers can rapidly determine the presence of SARS-CoV-2 neutralizing antibodies.
Ian Waitz, Cecilia Stuopis, and Suzanne Blake answer 3 questions on the fall semester and look ahead.
Dana Al-Sulaiman, a recent postdoc with MIT’s Ibn Khaldun Fellowship for Saudi Arabian Women, has developed a cheap, minimally invasive diagnostic test for cancer.
An experiment in Indonesia shows how much subsidies and in-person assistance spur people to get insurance — and how many people stop trying.
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.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
The head of MIT’s Department of Chemical Engineering will serve on the President’s Council of Advisors on Science and Technology.
Neuroscientists at MIT and Massachusetts General Hospital develop a statistical framework that describes brain-state changes patients experience under ketamine-induced anesthesia.