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The first successful organ transplant was less than 75 years ago. Despite significant progress since then, many patients still fall through the gaps of what remains a complicated procedure (Credits: Alex Ouyang/MIT Jameel Clinic).
CSAIL article

In 1954, the world’s first successful organ transplant took place at Brigham and Women’s Hospital, in the form of a kidney donated from one twin to the other. At the time, a group of doctors and scientists had correctly theorized that the recipient’s antibodies were unlikely to reject an organ from an identical twin. One Nobel Prize and a few decades later, advancements in immune-suppressing drugs increased the viability of and demand for organ transplants. Today, over 1 million organ transplants have been performed in the United States, more than any other country in the world.

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A small molecule binds to an OX2 protein. The new foundation model Boltz-2, developed by researchers at MIT and Recursion, achieves state-of-the-art performance in protein binding affinity prediction (Image: Courtesy of the researchers).
CSAIL article

Understanding how molecules interact is central to biology: from decoding how living organisms function to uncovering disease mechanisms and developing life-saving drugs. In recent years, models like AlphaFold changed our ability to predict the 3D structure of proteins, offering crucial insights into molecular shape and interaction. But while AlphaFold could show how molecules fit together, it couldn’t measure how strongly they bind — a key factor in understanding all aforementioned. That missing piece is where MIT’s new AI model, Boltz-2, comes in. 

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The models were trained on a dataset of synthetic images like the ones pictured, with objects such as tea kettles or calculators superimposed on different backgrounds. Researchers trained the model to identify one or more spatial features of an object, including rotation, location, and distance (Credits: Courtesy of the researchers).
CSAIL article

When visual information enters the brain, it travels through two pathways that process different aspects of the input. For decades, scientists have hypothesized that one of these pathways, the ventral visual stream, is responsible for recognizing objects, and that it might have been optimized by evolution to do just that.