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| Pharmacocinétique à base physiologique× | Modélisation pharmacodynamique de population× | |
|---|---|---|
| Domaine | Pharmacologie | Pharmacologie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1997 | 1992 |
| Auteur d'origine≠ | Ivan Nestorov | Lewis Sheiner and Stephen Roush |
| Type≠ | predictive modeling | dose-response modeling |
| Source fondatrice≠ | Nestorov, I. (1997). Sensitivity analysis of pharmacokinetic and pharmacodynamic systems. Journal of Pharmacokinetics and Biopharmaceutics, 25(4), 529-543. link ↗ | Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57. link ↗ |
| Alias≠ | PBPK, PBPK modeling | PopPD, population PD, hierarchical PD modeling |
| Apparentées | 3 | 3 |
| Résumé≠ | PBPK is a mechanistic modeling framework that uses physiological parameters, tissue properties, and drug-specific attributes to predict drug concentration time profiles in the body. Developed rigorously in the 1990s by researchers including Nestorov, PBPK integrates anatomy, biochemistry, and kinetics to enable rational drug development, bridging in vitro data to clinical outcomes. | Population pharmacodynamic (PopPD) modeling integrates pharmacokinetics with individual dose-response relationships across patient populations to characterize drug efficacy and tolerability. Pioneered by Lewis Sheiner and colleagues, PopPD accounts for inter-individual variability in drug effects and enables rational dose optimization and response prediction. |
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