In kids, EEG monitoring of consciousness safely reduces anesthetic use
Clinical trial finds several outcomes improved for young children when an anesthesiologist observed their brain waves to guide dosing of sevoflurane during surgery.
Clinical trial finds several outcomes improved for young children when an anesthesiologist observed their brain waves to guide dosing of sevoflurane during surgery.
Mingmar Sherpa, a researcher in the Martin Lab in the Department of Biology, has remained connected to his home in Nepal at every step of his career.
The technology, which achieves single-cell resolution, could help in continuous, noninvasive patient assessment to guide medical treatments.
Moving Health has developed an emergency transportation network using motorized ambulances in rural regions of Ghana.
Through workshops based on an MIT class, students in Kenya and Uganda gained hands-on experience engineering medical hardware.
A comprehensive study of the U.S. system could help policymakers analyze methods of matching donated kidneys and their recipients.
The Hood Pediatric Innovation Hub aims to break down barriers to pediatric innovation and foster transformative research to improve children’s health outcomes.
MIT Health mourns the loss of the student health plan research and resolution specialist.
The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.
Spheric Bio’s implants are designed to grow in a channel of the heart to better fit the patient’s anatomy and prevent strokes.
The chief of clinical quality and patient safety at MIT Health says her job allows her to use her entire skill set.
A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.
When his son received a devastating diagnosis, Fernando Goldsztein MBA ’03 founded an initiative to help him and others.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.