Understanding virtual patients efficiently and rigorously by combining machine learning with dynamical modelling

Individual biological organisms are characterized by daunting heterogeneity, which precludes describing or understanding populations of ‘patients’ with a single mathematical model. Recently, the field of quantitative systems pharmacology (QSP) has adopted the notion of virtual patients (VPs) to cope...

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Detalles Bibliográficos
Autores principales: Zhang, Tongli, Tyson, John J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837571/
https://www.ncbi.nlm.nih.gov/pubmed/34985622
http://dx.doi.org/10.1007/s10928-021-09798-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837571/
https://www.ncbi.nlm.nih.gov/pubmed/34985622
http://dx.doi.org/10.1007/s10928-021-09798-1

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