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Sounds like it's a machine learning based way to make it easier to design the guide RNA for the CRISPR protein used in gene editing, making it easier to target it the way you want to.

But that's basically all I know. It really would be nice to have someone actually knowledgeable describe this better.

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Yes, this is correct. We developed a series of ML models to predict 1) whether a given guide RNA is likely to result in the knockdown of a gene 2) whether a guide RNA is likely to produce unintended effects somewhere else in the genome.

Also see https://blogs.microsoft.com/ai/crispr-gene-editing/

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