Magnetic sensors track muscle movement, for better prosthetic limb control
Researchers hope to use these sensors to help people with amputation achieve more natural movements with their prosthetic limbs.
Researchers hope to use these sensors to help people with amputation achieve more natural movements with their prosthetic limbs.
Professor Michael Yaffe and six MIT alumni are honored for their outstanding professional achievement and commitment to service.
MIT engineers designed a robotic enteroscope that can inch through the hard-to-reach small intestine, making biopsies and drug delivery easier.
SanaHeal has developed a biologically compatible adhesive that sticks to wet tissues to simplify a variety of surgeries.
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
Wristband device from Encora Therapeutics started as a project in 2.009, MIT’s iconic product-design class.
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
MIT researchers developed a handheld system that gently collects living cells from patient samples to aid cancer testing and development of personalized medicines.
Novel research expands scientific understanding of how RNA shapes the reading of genetic information.
This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.
Graduate student Lyonel Tanganco investigates how to improve public policy interventions and address challenges in nutrition, climate, and development.
MIT researchers’ approach, which uses naturally occurring sugars as antifreeze, could make it easier for hospitals to deploy this type of cancer treatment.
MIT engineers introduce an adaptive physical therapy system that uses generative AI to learn from physical therapists and interactively support stroke patients.
Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.
The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.