Quantitative Systems Pharmacology, Volume 42

1. Quantitative systems pharmacology: Extending the envelope through systems engineering
   2. An engineering oriented approach to physiologically based pharmacokinetic and pharmacodynamic modeling
   3. Advanced Techniques for the Optimal Design of Experiments in Pharmacokinetics
   4. On the Identifiability of Physiological Models: Optimal Design of Clinical Tests
   5. Bayesian hierarchical modeling of gabapentin absorption and disposition with application to dosing regimen assessment
   6. Computational tools in the assistance of personalized healthcare
   7. Multiscale models for transport and biodistribution of therapeutics in cancer
   8. Quantitative systems pharmacology on cancer drug delivery to target sites: Application of chemical engineering tools
   9. Systems engineers’ role in biomedical research. Convection-enhanced drug delivery
   10. On the modeling of oral drug delivery
   11. Drug delivery from polymeric matrices
   12. Modeling the mechanics and the transport phenomena in hydrogels

Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications, Volume 42, provides a quantitative approach to problem-solving that is targeted to engineers. The book gathers the contributions of doctors, pharmacists, biologists, and chemists who give key information on the elements needed to model a complex machine like the human body. It presents information on diagnoses, administration and release of therapeutics, distribution metabolism and excretion of drugs, compartmental pharmacokinetics, physiologically-based pharmacokinetics, pharmacodynamics, identifiability of models, numerical methods for models identification, design of experiments, in vitro and in vivo models, and more.

As the pharma community is progressively acknowledging that a quantitative and systematic approach to drug administration, release, pharmacokinetics and pharmacodynamics is highly recommended to understand the mechanisms and effects of drugs, this book is a timely resource.

• Outlines a model-based approach (based on Process Systems Engineering-OSE and Computer Aided Process Engineering-CAPE) in quantitative pharmacology
• Explains how therapeutics work in the human body and how anatomy and physiology influences drug efficacy
• Discusses how drugs are driven to specific targets using nanoparticles
• Offers insight into how in vitro and in vivo experiments help understand the drug mechanism of action and optimize their performance
• Includes case studies showing the positive outcome of these methods in personalized therapies, therapeutic drug monitoring, clinical trials analysis and drug formulation

Academic, government and corporate researchers in the area of quantitative pharmacology; bio-chemical engineers as well as mechanical and nuclear engineers; all involved in quantitative pharmacology such as pharmacists, biologists, chemists, and medical doctors; Mathematicians and physicists working on numerical modelling