Decoding Cell Behavior and Disease With AI and Single-Cell Transcriptomics

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November 1, 2021 | Originally published by Drug Discovery News on October 6, 2021

Scientists from a biotech company observe gene expression changes in millions of cell as they transition from healthy to diseased. Using machine-learning techniques, they are better able to understand these transitions and predict potential therapies. These scientists are hoping to convert gene expression data into digital maps.

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