How to create “humble” AI
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
An MIT-led team is designing artificial intelligence systems for medical diagnosis that are more collaborative and forthcoming about uncertainty.
Anthropologist Amy Moran-Thomas studies overlooked insights from people health care is meant to reach.
SMART breakthrough offers a promising pathway toward improved manufacturing of high‑quality cells for regenerative therapies to treat joint diseases.
MIT senior Srihitha Dasari reflects on the power of experiential learning through the PKG Center for Social Impact.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
By showing the problem derives from genetic mutations that lead to overexpression of a microRNA, MIT researchers’ study points to potential treatment.
Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.
Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.
From early motion-sensing platforms to environmental monitoring, the professor and head of the Program in Media Arts and Sciences has turned decades of cross-disciplinary research into real-world impact.
The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
In STS.059 (The Bioeconomy and Society), students explore the social and political factors at work in the biology, biotech, and biological engineering sectors.
Based on a virus-like particle built with a DNA scaffold, the approach could generate broadly neutralizing antibody responses against HIV or influenza.
The new system could be used at home or in doctors’ offices to scan people who are at high risk for breast cancer.
Founded by three MIT alumni, Gensaic uses AI-guided protein design to deliver RNA and other therapeutic molecules to specific cells or areas of the body.