Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Modélisation pharmacodynamique de population× | Pharmacocinétique à base physiologique× | |
|---|---|---|
| Domaine | Pharmacologie | Pharmacologie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1992 | 1997 |
| Auteur d'origine≠ | Lewis Sheiner and Stephen Roush | Ivan Nestorov |
| Type≠ | dose-response modeling | predictive modeling |
| Source fondatrice≠ | Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57. link ↗ | Nestorov, I. (1997). Sensitivity analysis of pharmacokinetic and pharmacodynamic systems. Journal of Pharmacokinetics and Biopharmaceutics, 25(4), 529-543. link ↗ |
| Alias≠ | PopPD, population PD, hierarchical PD modeling | PBPK, PBPK modeling |
| Apparentées | 3 | 3 |
| Résumé≠ | 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. | 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. |
| ScholarGateJeu de données ↗ |
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