MIT researchers leveraged a surprise discovery to devise a faster and more precise biomedical imaging technique.
Ultra-efficient chip design enables extremely strong cryptography algorithms to run on energy-constrained edge devices.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
Whether they walk on two, four, or six legs, animals maintain stability by monitoring their body position and correcting errors with every step.
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MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
Study of 3.5 million cells from more than 100 human brains finds Alzheimer’s progression — and resilience to disease — depends on preserving epigenomic stability.
Caroline Uhler is Andrew (1956) and Erna Viterbi Professor of Engineering; Professor of EECS and in IDSS; and Director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard, where she is also a core institute and scientific leadership team member. Next year, she’ll deliver a sectional lecture to the International Congress of Mathematicians at their annual congress in Philadelphia, a high honor.