Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens

Forecasting pharmacokinetics (PK) for individual patients is a fundamental problem in clinical pharmacology. One key challenge is that PK models constructed using data from one dosing regimen must predict PK data for different dosing regimen(s). We propose a deep learning approach based on neural or...

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Detalles Bibliográficos
Autores principales: Lu, James, Deng, Kaiwen, Zhang, Xinyuan, Liu, Gengbo, Guan, Yuanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283337/
https://www.ncbi.nlm.nih.gov/pubmed/34308294
http://dx.doi.org/10.1016/j.isci.2021.102804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283337/
https://www.ncbi.nlm.nih.gov/pubmed/34308294
http://dx.doi.org/10.1016/j.isci.2021.102804

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