Seeing more in expansion microscopy
New methods light up lipid membranes and let researchers see sets of proteins inside cells with high resolution.
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Rohit Karnik named director of J-WAFS
The mechanical engineering professor will lead MIT’s only program specifically focused on water and food for human need.
An ancient RNA-guided system could simplify delivery of gene editing therapies
The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Helping the immune system attack tumors
Stefani Spranger is working to discover why some cancers don’t respond to immunotherapy, in hopes of making them more vulnerable to it.
Five from MIT named 2025 Gates Cambridge Scholars
Markey Freudenburg-Puricelli; Christina Kim ’24; Abigail Schipper ’24; Sera Tolgay MCP ’18, SM ’18; and Rachel Zhang ’21 will pursue graduate studies at Cambridge University in the U.K.
Study: Even after learning the right idea, humans and animals still seem to test other approaches
New research adds evidence that learning a successful strategy for approaching a task doesn’t prevent further exploration, even if doing so reduces performance.
AI system predicts protein fragments that can bind to or inhibit a target
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
MIT faculty, alumni named 2025 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Professor Anthony Sinskey, biologist, inventor, entrepreneur, and Center for Biomedical Innovation co-founder, dies at 84
Colleagues remember the longtime MIT professor as a supportive, energetic collaborator who seemed to know everyone at the Institute.
MIT biologists discover a new type of control over RNA splicing
They identified proteins that influence splicing of about half of all human introns, allowing for more complex types of gene regulation.
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
MIT class takes students on a grand tour of the interdisciplinary world of biotech
Exploring and applying concepts from different disciplines provides broad knowledge and hands-on practice for real-world application.
Engineers turn the body’s goo into new glue
They combined a blend of slimy and sticky proteins to produce a fast-acting, bacteria-blocking, waterproof adhesive for use in biomedical applications.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.