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Abstract

Ensuring Accuracy and Reliability in Drug Development and Clinical Practice. Pharmacokinetic models are indispensable tools for quantifying drug behavior in vivo, crucial for optimizing dosing regimens and predicting therapeutic outcomes. This article explores the principles, methods, challenges, and future directions in the validation and optimization of these models. Validation involves comparing model predictions with experimental data, while optimization aims to improve predictive accuracy through parameter refinement and model selection. Challenges include data availability and variability in patient responses. Future advancements focus on integrating big data and advancing computational tools to enhance personalized medicine approaches