DNA

Artificial IntelligenceMachine Learning

3 Questions: On biology and medicine’s “data revolution”

Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.

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Artificial Intelligence

Rationale engineering generates a compact new tool for gene therapy

Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.

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Artificial IntelligenceMachine Learning

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.

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Artificial Intelligence

Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.

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Artificial Intelligence

The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.

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Artificial IntelligenceMachine Learning

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

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Artificial Intelligence

With generative AI, MIT chemists quickly calculate 3D genomic structures

A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.

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Artificial Intelligence

Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards

The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.

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