中国P站

Abstract

Pharmacokinetic modeling is fundamental to drug development, guiding dose optimization and predicting interactions. Modern approaches integrate mechanistic insights with population data, utilize PBPK for ADME simulation, and leverage AI/ML for enhanced prediction. PK/PD modeling connects drug exposure to effects, while QSP offers system-level mechanistic understanding. Challenges with sparse data are being addressed, and Bayesian modeling enables adaptive dosing for improved safety and efficacy. These techniques collectively advance drug discovery and clinical application