MIT community in 2021: A year in review
Top Institute stories dealt with the return to campus and continued response to Covid-19, MIT’s commitments to climate action, its support of a diverse community, and more.
Top Institute stories dealt with the return to campus and continued response to Covid-19, MIT’s commitments to climate action, its support of a diverse community, and more.
The year’s popular research stories include a promising new approach to cancer immunotherapy, the confirmation of a 50-year-old theorem, and a major fusion breakthrough.
A new study shows it’s theoretically possible. The hypothesis could be tested soon with proposed Venus-bound missions.
The rechargeable battery can be woven and washed, and could provide power for fiber-based electronic devices and sensors.
Computational modeling shows that both our ears and our environment influence how we hear.
The clinically-trained cell biologist exploits the liver’s unique capacities in search of new medical applications.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
The discovery, based on an unusual event dubbed “the Cow,” may offer astronomers a new way to spot infant compact objects.
Report led by MIT scientists details a suite of privately-funded missions to hunt for life on Earth's sibling planet.
Infection during pregnancy with elevated levels of the cytokine IL-17a may yield microbiome alterations that prime offspring for aberrant immune responses, mouse study suggests.
Travis Dillon and Alex Cohen are recognized with 2022 AMS-MAA-SIAM Frank and Brennie Morgan Prize for Outstanding Research in Mathematics.
Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.
Marcos Berríos ’06, Christina Birch PhD ’15, and Christopher Williams PhD ’12 make up a third of the 2021 NASA astronaut candidate class.
Tomosyn’s tight regulation of neurotransmitter release distinguishes functions of two neuron classes at the fly neuromuscular junction.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.