Advanced Methods of Pharmacokinetic and Pharmacodynamic Systems Analysis contains chapters by leading researchers in pharmacokinetic/pharmacodynamic modeling and will be of interest to anyone involved with the application of pharmacokinetic and pharmacodynamics to drug development.
From its inception, the field of pharmacokinetics and pharmacodynamics has incorporated methods of mathematical modeling, simulation and computation in an effort to better understand and quantify the processes of uptake, disposition and action of therapeutic drugs.
Contents
Physiological Modeling of the Small Intestine in Drug Absorption
- Intracellular Metabolism of Lamivudine
- Mechanism-Based Pharmacodynamic Modeling for Prediction of Exposure Response
- Mechanism-Based PK/KD Modeling of Digoxin: Role of Receptor Heterogeneity and Postreceptor Events
- Pharmacodynamics and Pharmocogenomics of Corticosteroids: Microarray Studies
- Bayesian Inference in Physiologically-Based Pharmacokinetic Modeling: Application to Anticancer Drug Development
Pharmacometrics
- Monte Carlo Parametric Expectation Maximization (MC-PEM) Method for Analyzing Population Pharmacokinetic/Pharmacodynamic Data
- Application of Markov Chain Monte Carlo Methods to Inverse Problems in PK/PD
- Regenerative Markov Chain Monte Carlo Methods for Pharmacokinetic/Pharmacodynamic Estimation
- Vizstruct: A Multidimensional Visualization Algorithm for Gene Expression
Pharmacotherapy
- Modeling and Simulation of Effects of Adherence, Pharmacokinetic, and Pharmacodynamic Characteristics in Development of Resistance to HIV Regimens in Treatment-Naive Patients
- Mechanistic PK/PD Modeling of Antiretrovial Therapies in AIDS Clinical Trials
- Dose Individualization for High-Dose Anti-Cancer
- Toward Model-Based Chemotherapy Treatment Design
- Control of Uncertain Pharmacodynamic Systems
Index
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