Machine learning discovers new sequences to boost drug delivery
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.
Abdul Latif Jameel Clinic for Machine Learning in Health
A unique collaboration with US Special Operations Command
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
The potential of artificial intelligence to bring equity in health care
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Behind Covid-19 vaccine development
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
An artificial intelligence tool that can help detect melanoma
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.
3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Mary Frances Wagley, dedicated educator and the first woman to join the MIT Corporation, dies at 93
One of few female students in the 1940s, Wagley was also the Alumni Association’s first female president.
AI Cures: data-driven clinical solutions for Covid-19
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.
MIT Proto Ventures program readies new startups for launch
MIT Innovation Initiative Venture Builder Luis Soenksen accelerates the launch of unique AI and health care startups in record time.
MIT-Takeda program launches
Research projects will harness the power of artificial intelligence to positively impact human health.
MIT School of Engineering and Takeda join to advance research in artificial intelligence and health
A key part of J-Clinic, the MIT-Takeda Program will create educational opportunities and support cutting-edge research to positively impact human health.
J-Clinic names 18 grant recipients from across Institute
Projects will develop new AI technologies that detect and prevent diseases.
Regina Barzilay, James Collins, and Phil Sharp join leadership of new effort on machine learning in health
MacArthur “geniuses” in machine learning and synthetic biology to serve as faculty co-leads; Nobel laureate to chair advisory board of new research center.