Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeling of population dynamics and treatment responses can be applied to …
FP Theil, TW Guentert, S Haddad, P Poulin - Toxicology letters, 2003 - Elsevier
The present paper proposes a modeling and simulation strategy for the prediction of pharmacokinetics (PK) of drug candidates by using currently available in silico and in vitro …
W Zhan, M Alamer, XY Xu - Advanced drug delivery reviews, 2018 - Elsevier
Drug delivery to solid tumour involves multiple physiological, biochemical and biophysical processes taking place across a wide range of length and time scales. The therapeutic …
Quantitative systems pharmacology (QSP) models and spatial agent-based models (ABM) are powerful and efficient approaches for the analysis of biological systems and for clinical …
T Heiskanen, T Heiskanen… - Current pharmaceutical …, 2009 - ingentaconnect.com
Physiology based pharmacokinetic (PBPK) modeling and simulation is a useful method for prediction of biodistribution of both macromolecules and small molecules. It can enhance …
Physiology-based pharmacokinetic (PBPK) modeling is well recognized as a technology for mechanistically simulating and predicting the fate of substances in a mammalian body …
Quantitative systems pharmacology (QSP), a mechanistically oriented form of drug and disease modeling, seeks to address a diverse set of problems in the discovery and …
W Wang, D Ouyang - Drug Discovery Today, 2022 - Elsevier
Highlights•PBPK modeling bridges drug properties and PK behaviours in drug discovery and development.•The PBPK is often used in oral formulation development, to address …
C Correia, A Ferreira, J Santos, R Lapa, M Yliperttula… - Molecules, 2021 - mdpi.com
Pharmacokinetic (PK) studies improve the design of dosing regimens in preclinical and clinical settings. In complex diseases like cancer, single-agent approaches are often …