MIT alumni and friends from around the globe attended an online event that featured presentations from Institute leaders, faculty, and alumni about human health-related research.
Black women are more vulnerable than white men, illustrating how race and gender intersect to shape health outcomes.
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
New research offers insight for city planning and workforce development.
EECS Communication Lab teams up with MIT Libraries to broadcast free “Science Snippets” to the world.
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
New publishing model provides unique and timely solutions to the production, curation, and preservation of knowledge.
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
MIT biology professor and pioneering researcher of cancer cell metabolism will succeed longtime director Tyler Jacks.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.