Machine learning-based quantitative prediction of drug exposure in drug-drug interactions using drug label information

Many machine learning techniques provide a simple prediction for drug-drug interactions (DDIs). However, a systematically constructed database with pharmacokinetic (PK) DDI information does not exist, nor is there a machine learning model that numerically predicts PK fold change (FC) with it. Theref...

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Detalles Bibliográficos
Autores principales: Jang, Ha Young, Song, Jihyeon, Kim, Jae Hyun, Lee, Howard, Kim, In-Wha, Moon, Bongki, Oh, Jung Mi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273620/
https://www.ncbi.nlm.nih.gov/pubmed/35817846
http://dx.doi.org/10.1038/s41746-022-00639-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273620/
https://www.ncbi.nlm.nih.gov/pubmed/35817846
http://dx.doi.org/10.1038/s41746-022-00639-0

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