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Data scientists at the Icahn School of Medicine at Mount Sinai in New York and colleagues have created an artificial intelligence model that may more accurately predict which existing medicines, not currently classified as harmful, may in fact lead to congenital disabilities. The model, or “knowledge graph,” described in the July 17 issue of the Nature journal Communications Medicine, also has the potential to predict the involvement of pre-clinical compounds that may harm the developing fetus. The study is the first known of its kind to use knowledge graphs to integrate various data types to investigate the causes of congenital disabilities.

New yorkUnited statesNew zealandThe mountNew zealand generalNew providenceEast harlemDaniel jb clarkeSherryl jenkinsAvi maayanDeanne taylorTudori opreaTaha mohseni ahooyiGiacomob marinoJohn erol evangelistaChristopheg lambert university of new mexico