Artificial intelligence model “learns” from patient data to make cancer treatment less toxic
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors.
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors.
MIT AgeLab launches In Good Company global challenge in partnership with GE, Benchmark Senior Living, and the Massachusetts Council to Address Aging.
Base Operations, MDaaS Global, and Graviky Labs will head to Texas to be part of the first class at the new elite accelerator.
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
Study debunks notion that large chunks of Medicare go to futile end-of-life care.
Algorithm makes the process of comparing 3-D scans up to 1,000 times faster.
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”
Annamarie Bair, a premed student turned computer science major, is drawn to the promise of artificial intelligence and health care.
Seven-month program includes 14 international groups, who are convening at the Institute to develop new biomedical technologies.
New study describes first human implementation of novel approach to limb amputation.
Bandage is threaded with photonic fibers that change color to signal pressure level.
Through transformative use of telemedicine, researcher and instructor Amar Gupta hopes to achieve better, quicker, and less expensive health care for all.
MIT researchers and industry form new consortium to aid the drug discovery process.
Modular blocks could enable labs around the world to cheaply and easily build their own diagnostics.