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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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Rady Children's Institute for Genomic Medicine and Deloitte are looking into the use of drones to transport samples for testing. 

Direct-to-consumer genetic testing firm 23andMe is laying off about 100 people.

Researchers from Northwestern University examined dust for antibiotic-resistance genes, New Scientist reports. 

In Science this week: researchers present a computational method for predicting cellular differentiation state from single-cell RNA sequencing data, and more.