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

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

Abstract 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 i...

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Detaylı Bibliyografya
Asıl Yazarlar: Ha Young Jang, Jihyeon Song, Jae Hyun Kim, Howard Lee, In-Wha Kim, Bongki Moon, Jung Mi Oh
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Nature Portfolio 2022-07-01
Seri Bilgileri:npj Digital Medicine
Online Erişim:https://doi.org/10.1038/s41746-022-00639-0

Internet

https://doi.org/10.1038/s41746-022-00639-0

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