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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.
Researchers develop AI model to better predict which drugs may cause birth defects medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.
New York, NY (PRWEB) July 17, 2023 -- New York, NY (July 17, 2023)—Data scientists at the Icahn School of Medicine at Mount Sinai in New York and colleagues
There are still many enigmas about the mechanism of action of metformin, the most prescribed drug to treat diabetes mellitus, also known as type 2 diabetes.
Discovering the action mechanism of the most widely used type 2 diabetes drug medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.
A machine learning-based model appeared to improve prediction of mortality risk for patients undergoing cardiac surgery compared with population-derived models, researchers reported.“The standard-of-care risk models used today are limited by their applicability to specific types of surgeries, leaving out significant numbers of patients undergoing complex or combination procedures for which