Description
Quantitative Systems Pharmacology as a discipline has matured over the past decade and is being used more frequently in academia and industry; however, dedicated training programs and courses are limited. This book will provide a go-to educational reference for a broad audience with topics including: the technology’s history, comparisons to other modeling methods and emerging opportunities to bring methods together, best practice for implementation illustrated by real-world examples, and finally a summary of where the technology is headed in the future.
Table of Contents
Part 1 Fundamental Modeling.- What Is QSP and Why Does It Exist A Brief History.- Breadth of Pharmacology Modeling Fundamentals of Pharmacokinetics, Pharmacodynamics, and Mechanistic Modeling.- A Framework for Quantitative Systems Pharmacology Model Execution.- Role of data in development and application of Quantitative Systems Pharmacology models.- Integrating QSP and ML to Facilitate Drug Development and Personalized Medicine.- Part 2 Model Development and Application.- Quantitative Systems Pharmacology Development and Application in Neuroscience.- Quantitative Systems Pharmacology Modeling in Immuno Oncology Hypothesis Testing, Dose Optimization, and Efficacy Prediction.- Application of Mechanistic Mathematical Modeling to Toxicology Quantitative Systems Toxicology (QST).- The Role of Cross Institutional and Interdisciplinary Collaboration in Defining and Executing a Quantitative Systems Pharmacology Strategy.- Part 3 Current Challenges and Future Direction.- Future Directions for Quantitative Systems Pharmacology.
