With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
The prestigious fellowship, which honors independence of thought, purposeful leadership, and civic mindset, funds graduate studies at Stanford University.
The multitalented member of the varsity swim team graduated with her undergraduate degree in computer science and molecular biology in 2024 and will complete her MEng this month.
Faculty members and researchers honored in recognition of their scholarship, service, and overall excellence.
Nona Technologies exemplifies how J-WAFS has helped launch real-world solutions for global water and food challenges.
Since an MIT team introduced expansion microscopy in 2015, the technique has powered the science behind kidney disease, plant seeds, the microbiome, Alzheimer’s, viruses, and more.
A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.
Founded by MIT researchers, Senti Bio is giving immune cells the ability to distinguish between healthy and cancerous cells.
MIT associate professor recognized for exceptional distinction in teaching, research, and service at MIT.
These bacteria, which could be designed to detect pollution or nutrients, could act as sensors to help farmers monitor their crops.
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.
The research may enable the design of synthetic, light-activated cells for wound healing or drug delivery.
MIT engineers developed a way to grow artificial tissues that look and act like their natural counterparts.
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.