Recent Advances in Population Pharmacokinetics and Pharmacodynamics
A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Pharmacokinetics and Pharmacodynamics".
Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 7991
Special Issue Editors
Interests: clinical pharmacokinetics; population PKPD models; pharmacometrics; TDM; model-informed dosing optimization; NONMEM
Special Issues, Collections and Topics in MDPI journals
Interests: model-based drug development; pharmacokinetics; pharmacodynamics; disease modeling; HIV-TB therapy optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Population pharmacokinetic/pharmacodynamic (PopPKPD) modeling represents the youngest and most powerful of all of the methodological approaches used for drug data analysis; therefore, it still evolves, advances, and expands its application. Nevertheless, its contribution to decision making throughout all drug development phases and clinical therapy decisions is greatly supported by the EU and US regulatory bodies while being acknowledged by the pharmaceutical industry and academia. PopPKPD analysis can be utilized to identify covariates that significantly impact variability in drug exposure and response, inform dosing regimens for evaluation in clinical trials, support dose recommendations in special populations, or optimize dosages according to patients’ characteristics in clinical settings.
The goal of this Special Issue is to provide some insight into a few of the recent advances seen in the PopPKPD field. Therefore, we invite you to contribute with your competencies via review and original scientific manuscripts as well as shape the upcoming Special Issue of Pharmaceutics.
Prof. Dr. Katarina Vučićević
Dr. Maria Garcia-Cremades Mira
Guest Editors
Manuscript Submission Information
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Keywords
- population PK/PD models
- nonlinear mixed-effects modeling
- variability in drug response
- disease models
- model-informed drug dosing optimization
- time-to-event models
- simulation analysis
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