MIT Solve announces 2024 Global Challenges and Indigenous Communities Fellowship
Over $1 million in prize funding available for tech-enabled solutions to the 2024 Global Challenges.
Over $1 million in prize funding available for tech-enabled solutions to the 2024 Global Challenges.
New PE.0539 course supports students who want to meet new people, strengthen friendships, build communities, and make MIT a more welcoming place.
Jonathan Weissman and collaborators developed a tool to reconstruct human cell family trees, revealing how blood cell production changes in old age.
The program encourages everyone on campus to get moving during the cold months.
Collaborative hub founded by philanthropist Lisa Yang will catalyze academic innovation and result in real-world, global impact.
Swallowing the device before a meal could create a sense of fullness, tricking the brain into thinking it’s time to stop eating.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
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.