Enhancing the future of teaching and learning at MIT
The MIT Festival of Learning sparked discussions on better integrating a sense of purpose and social responsibility into hands-on education.
The MIT Festival of Learning sparked discussions on better integrating a sense of purpose and social responsibility into hands-on education.
MIT biologists have found that defects in some transfer RNA molecules can lead to the formation of these common conditions.
CAMP4 Therapeutics is targeting regulatory RNA, whose role in gene expression was first described by co-founder and MIT Professor Richard Young.
The American Association for the Advancement of Science recognizes six current affiliates and 27 additional MIT alumni for their efforts to advance science and related fields.
The research may enable the design of synthetic, light-activated cells for wound healing or drug delivery.
Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.
The Institute also ranks second in seven subject areas.
At an MIT-led event at AJAS/AAAS, researchers connect with MIT faculty, Nobel laureates, and industry leaders to share their work, gain mentorship, and explore future careers in science.
Spheric Bio’s implants are designed to grow in a channel of the heart to better fit the patient’s anatomy and prevent strokes.
Stefani Spranger is working to discover why some cancers don’t respond to immunotherapy, in hopes of making them more vulnerable to it.
Markey Freudenburg-Puricelli, Christina Kim ’24, Abigail Schipper ’24, and Rachel Zhang ’21 will pursue graduate studies at Cambridge University in the U.K.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
Colleagues remember the longtime MIT professor as a supportive, energetic collaborator who seemed to know everyone at the Institute.
They identified proteins that influence splicing of about half of all human introns, allowing for more complex types of gene regulation.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.