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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| 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 |