James Fujimoto, Eric Swanson, and David Huang are recognized for their technique to rapidly detect diseases of the eye; Subra Suresh is honored for his commitment to research and collaboration across borders.
The vibrating platform could be useful for growing artificial muscles to power soft robots and testing therapies for neuromuscular diseases.
While useful for killing pathogens including SARS-CoV-2, the lights may cause unwanted chemical reactions and should be used with ventilation, researchers say.
Professor and two additional MIT affiliates honored for influential work on optical coherence tomography, which allows rapid detection of retinal disease, among other applications.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
Here’s how three MIT teams orchestrate the launch of a new school year.
The findings point to faster way to detect bacteria in food, water, and clinical samples.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.
MIT professor discusses the US surgeon general’s recent advisory and why scrolling social media can lead to depression and anxiety.
A new approach opens the door to a greater understanding of protein-microbe interactions.
As Canada’s wildfires continue to be felt downwind, MIT experts weigh in on what to expect in the coming months, with wildfire season underway.
Omer Yilmaz’s work on how diet influences intestinal stem cells could lead to new ways to treat or prevent gastrointestinal cancers.
New MIT faculty member investigates how sensory input from within the body controls mammalian physiology and behavior.
Fifteen principal investigators from across MIT will conduct early work to solve issues ranging from water contamination to aquaculture monitoring and management.