Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
Entrepreneurial ventures are developing technologies, community resources, and solutions to address social isolation and loneliness among older adults in Massachusetts.
Startup PlateJoy sends users personalized meal plans to help them achieve health goals.
Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.
A roundup of MIT student research projects offers a glimpse of where computing is going next.
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Smartphone app developed by Emily Lindemer PhD '17 uses social contacts and location information to give gentle reminders for staying engaged with recovery.
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Living and working in a glass cube, an interdisciplinary team of students reimagined the ambulance of the future as part of a global startup competition.
Health care economist and media studies scholar are the latest MIT faculty to nab prestigious “genius grant.”
A key part of the MIT Quest for Intelligence, J-Clinic builds on MIT expertise across multiple scientific disciplines.
Neural network learns speech patterns that predict depression in clinical interviews.