Emulation of Quantitative Systems Pharmacology models to accelerate virtual population inference in immuno-oncology

•Virtual population inference is frequently a bottleneck in application of Quantitative Systems Pharmacology (QSP) models in Immuno-oncology (IO).•Machine Learning was applied to emulate a QSP model and allow efficient virtual population inference using clinical data on tumour size distribution.•App...

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Veröffentlicht in:	Methods (San Diego, Calif.) Jg. 223; S. 118 - 126
Hauptverfasser:	Pawłowski, Tomasz, Bokota, Grzegorz, Lazarou, Georgia, Kierzek, Andrzej M., Sroka, Jacek
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.03.2024
Schlagworte:	Calibration clinical trials Computer Simulation Humans Immuno-oncology Machine learning Medical Oncology Model emulation neoplasms Neoplasms - drug therapy Neoplasms - pathology Network Pharmacology nonlinear models Objective function optimization patients pharmacology Quantitative systems pharmacology statistics Virtual population inference Objective function optimization Virtual population inference Quantitative systems pharmacology Immuno-oncology Model emulation Machine learning
ISSN:	1046-2023, 1095-9130, 1095-9130
Online-Zugang:	Volltext
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