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Using AI and large language models to reads cells as if they were text
Single-cell analysis has dramatically advanced medical research, but it also produces massive amounts of data that pose significant challenges. To address this, researchers from Yale and Google have developed Cell2Sentence, a system that transforms complex data into a structured text format that enables large language models to process and interpret biological datasets.
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