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In this week's Nature, a team led by researchers from Harvard Medical School and the Massachusetts Institute of Technology describes a machine learning-based method for precise and predictable CRISPR genome editing of pathogenic variants. The investigators built a library of roughly 2,000 Cas9 guide RNAs paired with DNA target sites and trained with a computer model called inDelphi.

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