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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |