Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition

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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...

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Detalles Bibliográficos
Autores principales: Wang, Hanwen, Arulraj, Theinmozhi, Kimko, Holly, Popel, Aleksander S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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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