Democratizing artificial intelligence in health care
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
MIT AgeLab hosts Governor Baker, winners of In Good Company Challenge
Entrepreneurial ventures are developing technologies, community resources, and solutions to address social isolation and loneliness among older adults in Massachusetts.
Healthy eating made easy
Startup PlateJoy sends users personalized meal plans to help them achieve health goals.
Artificial intelligence summit addresses impact of technology on jobs and global economy
Speakers at the summit included Massachusetts Secretary of Labor Rosalin Acosta and former Google chairman Eric Schmidt.
The many interfaces of computing
A roundup of MIT student research projects offers a glimpse of where computing is going next.
Machine-learning system could aid critical decisions in sepsis care
Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
"Hey,Charlie" app supports those struggling with opioids
Smartphone app developed by Emily Lindemer PhD '17 uses social contacts and location information to give gentle reminders for staying engaged with recovery.
Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Student entrepreneurs think inside the box
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.
Amy Finkelstein, Lisa Parks win 2018 MacArthur Fellowships
Health care economist and media studies scholar are the latest MIT faculty to nab prestigious “genius grant.”
Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment
A key part of the MIT Quest for Intelligence, J-Clinic builds on MIT expertise across multiple scientific disciplines.
Model can more naturally detect depression in conversations
Neural network learns speech patterns that predict depression in clinical interviews.
Model improves prediction of mortality risk in ICU patients
By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.
A "GPS for inside your body"
CSAIL wireless system suggests future where doctors could implant sensors to track tumors or even dispense drugs.
MIT AgeLab partners with Tivity Health for Connectivity Summit on Rural Aging
Attendees address rural social isolation among aging populations in America.