Mentees, colleagues, friends share remembrances of Susumu Tonegawa
To remember the longtime professor, lab members, alumni, colleagues, and other well-wishers gathered with members of his family in MIT Building 46 and online.
To remember the longtime professor, lab members, alumni, colleagues, and other well-wishers gathered with members of his family in MIT Building 46 and online.
Documentary shines a powerful light on a painful disease that affects 265 million women, highlights efforts at MIT’s Center for Gynepathology Research to study the disease and find treatments.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
By tracking over 1 million cells, researchers created a detailed map of embryonic development in mice. It could provide development and disease insights.
Professor Michael Yaffe and six MIT alumni are honored for their outstanding professional achievement and commitment to service.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Associate Professor David Des Marais studies how plants interact with their surroundings and adapt over time.
Some tumor cells develop resistance by amplifying the KRAS gene, while others change their tumor type, MIT researchers have found.
They also found that obesity may put patients at higher risk for activation of the pathway. Drugs that block the pathway may help prevent metastasis.
This summer, BSG-MSRP-Bio student Marina Milea investigated how lung cancers become resistant to targeted therapies, gaining hands-on research experience in the Jacks Lab at the Koch Institute.
A new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
New research offers support for the possibility that complex biological molecules could exist in the highly acidic environment of Venus’s cloud layer.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
This discovery points toward new combination strategies against cancer, and may explain the iron buildup seen in disorders such as early-onset Parkinson’s disease.