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

Abstract 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...

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Bibliographic Details
Main Authors: Hanwen Wang, Theinmozhi Arulraj, Holly Kimko, Aleksander S. Popel
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-023-00405-9