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.
Biological engineering
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.
When MIT’s interdisciplinary NEET program is a perfect fit
Junior Katie Spivakovsky describes her path through New Engineering Education Transformation to biomedical research and beyond.
A causal theory for studying the cause-and-effect relationships of genes
By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.
School of Engineering welcomes new faculty
Fifteen new faculty members join six of the school’s academic departments.
When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria
Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.
A new computational technique could make it easier to engineer useful proteins
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
Five MIT faculty members take on Cancer Grand Challenges
Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.
Using AI, MIT researchers identify a new class of antibiotic candidates
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
Closing the design-to-manufacturing gap for optical devices
A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.