Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning

Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. We aimed to test the utility of machine learning applied to big data in identifying the potential role of concomitant drugs not taken for diabetes which may contribute to lowering blood glucose. Succe...

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Detalles Bibliográficos
Autores principales: Koren, Gideon, Nordon, Galia, Radinsky, Kira, Shalev, Varda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864406/
https://www.ncbi.nlm.nih.gov/pubmed/31763043
http://dx.doi.org/10.1002/prp2.529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864406/
https://www.ncbi.nlm.nih.gov/pubmed/31763043
http://dx.doi.org/10.1002/prp2.529

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