Predictive Toxicology in Drug Safety

Predictive Toxicology in Drug Safety

by JinghaiJ.Xu (Editor), Laszlo Urban (Editor)

Synopsis

According to the Institute of Medicine (IOM) and U.S. Food and Drug Administration (FDA), 'developing new scientific approaches to detecting, understanding, predicting and preventing adverse events' was a critical path to the future of drug safety. This book brings together a collection of state-of-the-art chapters, written by experts in the drug safety field. It provides information on the present knowledge of drug side effects and their mitigation strategy during drug discovery, gives guidance for risk assessment and promotes evidence-based toxicology. Each specific area of toxicology relevant for drug discovery is discussed in detail, including theory, experimental approaches and data interpretation supported by comprehensive up-to-date references. Many chapters provide fascinating case studies, which are of general interest for those who have basic science training and are interested in how chemicals interact with the human body.

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More Information

Format: Hardcover
Pages: 404
Edition: 1
Publisher: Cambridge University Press
Published: 27 Sep 2010

ISBN 10: 0521763649
ISBN 13: 9780521763646
Book Overview: Provides information on drug side effects and their mitigation strategy during drug discovery, as well as guidance for risk assessment and evidence-based toxicology.

Media Reviews
... an in-depth reference in the field of predictive toxicology, Inclusion of useful case studies, description of experimental methods and models, graphical analysis and presentations, with ample references at the end of each chapter are useful, sometimes unique features of this book. It will be of great interest not only to academics but also o the scholars and researchers working in the field of toxicology... Shubhini A. Saraf, Roshan K. Sahu for Drug and Alcohol Review
Author Bio
Jinghai James Xu, Ph.D. is currently Senior Director of Knowledge Discovery and Knowledge Management at Merck Research Laboratory, New Jersey, where he guides strategic directions of integrating external and internal knowledge to enhance the probability of success of pharmaceutical research and development. Before joining Merck he held positions of increasing responsibility at Pfizer, first at its Groton Laboratories, then at its Cambridge-based Systems Biology group, Research Technology Center. While at Pfizer, he led research directions in predictive toxicology, in vitro ADMET assay development and implementation, in vitro in vivo correlations, high content screening, automated image analysis, systems biology and systems toxicology. Prior to Pfizer, he worked at the advanced technology group at Curagen Corp. Dr Xu received his Ph.D. in Toxicology under the guidance of Professor Peter C. Dedon at MIT (in Cambridge, MA, USA). He has been honored with numerous awards including the Pfizer Central Research Achievement Award. He has published many book chapters, patent applications and scientific papers. He also speaks frequently at professional conferences about the value of implementing predictive technologies for drug efficacy and safety early in the drug R and D process. He serves both as an author and editor for scientific publishers such as Cambridge University Press, Wiley and Sons, and Bentham Science. Dr Laszlo Urban is current Executive Director and Global Head of Preclinical Safety Profiling at the Novartis Institute for Biomedical Research. Dr Urban has been actively involved in organizations such as the European Neuropeptide Club, the Society for Biomolecular Sciences and the International Association for the Study of Pain. His most recent published works include Hit and Lead Profiling (2009).