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Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition
Generating realistic virtual patients from a limited amount of patient data is one of the major challenges for quantitative systems pharmacology modeling in immuno-oncology. Quantitative systems pharmacology (QSP) is a mathematical modeling methodology that integrates mechanistic knowledge of biolog...
Autores principales: | Wang, Hanwen, Arulraj, Theinmozhi, Kimko, Holly, Popel, Aleksander S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168221/ https://www.ncbi.nlm.nih.gov/pubmed/37162938 http://dx.doi.org/10.1101/2023.04.25.538191 |
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