Creating a versatile vaccine to take on Covid-19 in its many guises
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
MIT engineers find specialized nanoparticles can quickly and inexpensively isolate proteins from a bioreactor.
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
“I feel a great connection to my community, and I always want to find a way to give back,” says the Rhodes Scholar and Air Force ROTC wing commander.
The soft robotic models are patient-specific and could help clinicians zero in on the best implant for an individual.
The sensor sends out its location as it moves through the GI tract, revealing where slowdowns in digestion may occur.
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
Immunology research, public health service, and student leadership are all part of senior Julian Zulueta’s journey toward becoming a physician-scientist.
MIT Open Learning team awarded NIH grant to provide training in biomedical product development, entrepreneurship, and innovation.
With this microfluidic device, researchers modeled how sickled blood cells clog the spleen’s filters, leading to a potentially life-threatening condition.
In a new book, “Risky Business,” Amy Finkelstein examines the core issue of the insurance industry: Who gets to be a customer?
Companies founded by MechE faculty and alumni solve a variety of health care challenges, from better drug delivery to robotic surgery.
The cap will help researchers gain new insight into how the brain functions.
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.