Pharmacokinetic-pharmacodynamic (PKPD) modeling and simulation has evolved as an
important tool for rational drug development and drug use, where developed models …

Characterizing the relationship between the pharmacokinetics (PK, concentration vs. time)
and pharmacodynamics (PD, effect vs. time) is an important tool in the discovery and …

Analyses of drug pharmacokinetics (PKs) and pharmacodynamics (PDs) performed in
animals are often not predictive of drug PKs and PDs in humans, and in vitro PK and PD …

Owing to their high spatiotemporal precision and adaptability to different host cells, organ-on-
a-chip systems are showing great promise in drug discovery, developmental biology studies …

Derivatives of differential equation solutions are commonly for parameter estimation, fitting
neural differential equations, and as model diagnostics. However, with a litany of choices …

ABSTRACT A pharmacokinetic-pharmacodynamic (PKPD) model that characterizes the full
time course of in vitro time-kill curve experiments of antibacterial drugs was here evaluated …

Monoclonal antibodies (mAbs) are an important therapeutic class with complex
pharmacology and interdependent pharmacokinetic (PK) and pharmacodynamics (PD) …

This review summarizes the present status of physiologically based pharmacokinetic (PBPK)
modeling and simulation (M&S) and its application in support of pediatric drug research. We …

Computational modeling enables researchers to study and understand various complex
biological phenomena in anticancer drug delivery systems (DDSs), especially nano‐sized …

Pharmacometrics is a multidisciplinary field utilizing mathematical models of physiology,
pharmacology, and disease to describe and quantify the interactions between medication …