Computer model helps researchers understand the connections between thousands of genes, and pinpoint how those connections go awry in disease.

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Researchers at Gladstone Institutes, the Broad Institute of MIT and Harvard, and Dana-Farber Cancer Institute (DFCI) have turned to artificial intelligence (AI) to help them understand how large networks of interconnected human genes control the function of cells, and how disruptions in those networks cause disease.

Large language models, also known as foundation models, are AI systems that learn fundamental knowledge from massive amounts of general data, and then apply that knowledge to accomplish new tasks—a process called transfer learning. These systems have recently gained mainstream attention with the release of generative AI models and applications (...)

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Sarah C.P. Williams on the consequences of disruptions to genetic networks

Robert T. Fremeau, Jr., Ph.D.

Founder, CSO

is an accomplished scientist and biotech entrepreneur with a track record of scientific innovation and program leadership at the intersection of target validation, translation, and clinical development.

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