Bringing precision to musculoskeletal health
Figur8, founded by MIT alumna Nan-Wei Gong SM ’09, PhD ’13, offers a wearable sensor system to improve the diagnosis and treatment of muscle injuries.
Figur8, founded by MIT alumna Nan-Wei Gong SM ’09, PhD ’13, offers a wearable sensor system to improve the diagnosis and treatment of muscle injuries.
The 2021 event, held in Kresge Auditorium and streamed live, was an unmistakable sign that MIT’s campus is up and running.
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.
Analysis of Medicare data finds location matters, not just past health behavior.
Results show infection rates increase across communities; individuals in low-income areas and those in poor health are at highest risk.
Conference brings together educators, policymakers, and industry leaders to consider new education models to train skilled workers.
The MIT alumnus-founded Stynt helps small health-care offices fill last-minute shift openings by hiring credentialed professionals.
Results suggest people of all races and political affiliations can be influenced with accurate and clear information conveyed by trusted experts, such as physicians.
Selective global honor supports early-career scientists and engineers in taking on new pursuits.
After meeting in an Advanced Study Program at MIT, three Norwegian students began working together to transport biological samples using autonomous vehicles.
Implant surface topography can influence the development of scarring, inflammation, and other complications, researchers find.
Natasha Joglekar ’21 is eager to apply her MIT education, with a major in computer science and biology and a minor in women’s and gender studies, to a career in medical research.
Kate Kellogg advocates for “experimentalist governance,” to find what works best for employees at all levels, then implement it widely.
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Machine learning software advances could help anesthesiologists optimize drug dose.