This state-of-the-art text describes the science behind the system and drug-dependent components of PBPK models, its applications in translational and regulatory science, e.g., guiding drug discovery and development, and supporting precision medicine initiatives. To incorporate state-of-the-art knowledge, each chapter is written by leaders in the field and illustrated by clear case studies. Connecting basic and applied science, this book explores the potential of PBPK modeling for improving therapeutics and is designed for a wide audience encompassing graduate students as well as biopharmaceutics scientists and clinical pharmacologists. Features: 1. Provides a basic understanding of the physiologically-based pharmacokinetic modeling and its applications 2. Assists the reader in understanding product performance to allow for rapid product development and establish bioequivalence 3. Well-constructed content and added value of real examples 4. Illustrates how using available resources via modeling and simulation leads to a reduction in the costs related to drug development, which directly affects the costs to patients

A definitive, single source of information on PBPK modeling Physiologically-based pharmacokinetic (PBPK) modeling is becomingincreasingly important in human health risk assessments and insupporting pharmacodynamic modeling for toxic responses. Organizedby classes of compounds and modeling purposes so users can quicklyaccess information, this is the first comprehensive reference ofits kind. This book presents an overview of the underlying principles of PBPKmodel development. Then it provides a compendium of PBPK modelinginformation, including historical development, specific modelingchallenges, and current practices for: * Halogenated Alkanes * Halogenated Alkenes * Alkene and Aromatic Compounds * Reactive Vapors in the Nasal Cavity * Alkanes, Oxyhydrocarbons, and Related Compounds * Pesticides and Persistent Organic Pollutants * Dioxin and Related Compounds * Metals and Inorganic Compounds * Drugs * Antineoplastic Agents * Perinatal Transfer * Mixtures * Dermal Exposure Models In addition to pinpointing specific information, readers canexplore diverse modeling techniques and applications. Anauthoritative reference for toxicologists, ecotoxicologists, riskassessors, regulators, pharmacologists, pharmacists, and graduatestudents in pharmacokinetics and toxicology, Physiologically-BasedPharmacokinetic Modeling compiles information from leaders in thefield and discusses future directions for PBPK modeling.

Physiologically Based Pharmacokinetic (PBPK) Modeling: Methods and Applications in Toxicology and Risk Assessment presents foundational principles, advanced techniques and applications of PBPK modeling. Contributions from experts in PBPK modeling cover topics such as pharmacokinetic principles, classical physiological models, the application of physiological models for dose-response and risk assessment, the use of in vitro information, and in silico methods. With end-of-chapter exercises that allow readers to practice and learn the skills associated with PBPK modeling, dose-response, and its applications to safety and risk assessments, this book is a foundational resource that provides practical coverage of PBPK modeling for graduate students, academics, researchers, and more. - Provides end-of-chapter exercises to teach hands-on computational tools used in toxicology - Supplies computer code and explanations and includes examples of applied models used in regulatory toxicology and research - Authored by expert editors and contributors who are among the best PBPK modelers in the world

This is a second edition to the original published by Springer in 2006. The comprehensive volume takes a textbook approach systematically developing the field by starting from linear models and then moving up to generalized linear and non-linear mixed effects models. Since the first edition was published the field has grown considerably in terms of maturity and technicality. The second edition of the book therefore considerably expands with the addition of three new chapters relating to Bayesian models, Generalized linear and nonlinear mixed effects models, and Principles of simulation. In addition, many of the other chapters have been expanded and updated.

Updated with new chapters and topics, this book provides a comprehensive description of all essential topics in contemporary pharmacokinetics and pharmacodynamics. It also features interactive computer simulations for students to experiment and observe PK/PD models in action. • Presents the essentials of pharmacokinetics and pharmacodynamics in a clear and progressive manner • Helps students better appreciate important concepts and gain a greater understanding of the mechanism of action of drugs by reinforcing practical applications in both the book and the computer modules • Features interactive computer simulations, available online through a companion website at: https://web.uri.edu/pharmacy/research/rosenbaum/sims/ • Adds new chapters on physiologically based pharmacokinetic models, predicting drug-drug interactions, and pharmacogenetics while also strengthening original chapters to better prepare students for more advanced applications • Reviews of the 1st edition: “This is an ideal textbook for those starting out ... and also for use as a reference book ...." (International Society for the Study of Xenobiotics) and “I could recommend Rosenbaum’s book for pharmacology students because it is written from a perspective of drug action . . . Overall, this is a well-written introduction to PK/PD .... “ (British Toxicology Society Newsletter)

**Selected for Doody's Core Titles® 2024 in Pharmacology**Atkinson's Principles of Clinical Pharmacology, Fourth Edition is the essential reference on the pharmacologic principles underlying the individualization of patient therapy and contemporary drug development. This well-regarded survey continues to focus on the basics of clinical pharmacology for the development, evaluation and clinical use of pharmaceutical products while also addressing the most recent advances in the field. Written by leading experts in academia, industry, clinical and regulatory settings, the fourth edition has been thoroughly updated to provide readers with an ideal reference on the wide range of important topics impacting clinical pharmacology. - Presents the essential knowledge for effective practice of clinical pharmacology - Includes a new chapter and extended discussion on the role of personalized and precision medicine in clinical pharmacology - Offers an extensive regulatory section that addresses US and international issues and guidelines - Provides extended coverage of earlier chapters on transporters, pharmacogenetics and biomarkers, along with further discussion on "Phase 0" studies (microdosing) and PBPK

The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach introduces jumping gene algorithms designed to supply adequate, viable solutions to multiobjective problems quickly and with low computational cost. Better Convergence and a Wider Spread of Nondominated Solutions The book begins with a thorough review of state-of-the-art multiobjective optimization techniques. For readers who may not be familiar with the bioscience behind the jumping gene, it then outlines the basic biological gene transposition process and explains the translation of the copy-and-paste and cut-and-paste operations into a computable language. To justify the scientific standing of the jumping genes algorithms, the book provides rigorous mathematical derivations of the jumping genes operations based on schema theory. It also discusses a number of convergence and diversity performance metrics for measuring the usefulness of the algorithms. Practical Applications of Jumping Gene Algorithms Three practical engineering applications showcase the effectiveness of the jumping gene algorithms in terms of the crucial trade-off between convergence and diversity. The examples deal with the placement of radio-to-fiber repeaters in wireless local-loop systems, the management of resources in WCDMA systems, and the placement of base stations in wireless local-area networks. Offering insight into multiobjective optimization, the authors show how jumping gene algorithms are a useful addition to existing evolutionary algorithms, particularly to obtain quick convergence solutions and solutions to outliers.