A. Michael West: Advancing human-robot interactions in health care
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.
Howard Hughes Medical Institute Gilliam Fellows are selected for their promise as future leaders in their scientific fields and for their commitment to advancing equity and inclusion.
Noncontact Laser Ultrasound offers capabilities comparable to those of MRI and CT but at vastly lower cost, in an automated and portable platform.
MIT researchers investigate the causes of health care disparities among underrepresented groups.
PhD student Constantine Tzouanas investigates how interactions between individual cells help determine whether pathogens will defeat their hosts — or vice versa.
The Koch Institute’s Annual Symposium highlights emerging successes and challenges in the advancement of vaccines to prevent and treat cancer.
US Navy officer and recent MechE alumna who served on a nuclear aircraft carrier researches radiation detection.
With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
Ahead of the Institute’s presidential inauguration, panelists describe advances in their research and how these discoveries are being deployed to benefit the public.
The new diagnostic, which is based on analysis of urine samples, could also be designed to reveal whether a tumor has metastasized.
MIT Open Learning team awarded NIH grant to provide training in biomedical product development, entrepreneurship, and innovation.
Companies founded by MechE faculty and alumni solve a variety of health care challenges, from better drug delivery to robotic surgery.
Vecna Technologies, founded by a pair of MIT alumni, has followed a long and winding path to help people in health care settings.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.