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

Wang, Hanwen; Arulraj, Theinmozhi; Kimko, Holly; Popel, Aleksander S

Wang, Hanwen; Arulraj, Theinmozhi; Kimko, Holly; Popel, Aleksander S.

Afiliación

Wang H; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA. hwang163@jhmi.edu.
Arulraj T; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Kimko H; Clinical Pharmacology & Quantitative Pharmacology, AstraZeneca, Gaithersburg, MD, USA.
Popel AS; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.

NPJ Precis Oncol ; 7(1): 55, 2023 Jun 08.

Article en En | MEDLINE | ID: mdl-37291190

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: NPJ Precis Oncol Año: 2023 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google