Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Fizioloģiski Balstīta Farmakokinētika× | In Vitro-In Vivo Korrelācija× | |
|---|---|---|
| Nozare | Farmakoloģija | Farmakoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1997 | 1995 |
| Autors≠ | Ivan Nestorov | Gordon Amidon |
| Tips≠ | predictive modeling | bioavailability prediction |
| Pirmavots≠ | Nestorov, I. (1997). Sensitivity analysis of pharmacokinetic and pharmacodynamic systems. Journal of Pharmacokinetics and Biopharmaceutics, 25(4), 529-543. link ↗ | Amidon, G. L., Lennernäs, H., Shah, V. P., & Crison, J. R. (1995). A theoretical basis for a biopharmaceutic drug classification: the correlation of in vitro drug product dissolution and in vivo bioavailability. Pharmaceutical Research, 12(3), 413-420. DOI ↗ |
| Citi nosaukumi≠ | PBPK, PBPK modeling | IVIVC |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. | IVIVC is a mathematical relationship between in vitro and in vivo properties of a drug, developed to predict oral bioavailability from dissolution data. Introduced by Amidon and colleagues in the 1995 Biopharmaceutics Classification System, it bridges laboratory measurements and clinical outcomes to streamline drug development. |
| ScholarGateDatu kopa ↗ |
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