Overview
Details the role of modeling and computational approaches in precision medicine
Highlights the progress towards precision medicine
Advances Path to Cures
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Table of contents (5 chapters)
Keywords
About this book
Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.Â
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Accelerated Path to Cures
Editors: Josep Bassaganya-Riera
DOI: https://doi.org/10.1007/978-3-319-73238-1
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-73237-4Published: 09 May 2018
Softcover ISBN: 978-3-030-10339-2Published: 12 January 2019
eBook ISBN: 978-3-319-73238-1Published: 25 April 2018
Edition Number: 1
Number of Pages: VIII, 82
Number of Illustrations: 11 illustrations in colour
Topics: Immunology, Computational Biology/Bioinformatics, Health Informatics, Computer Appl. in Life Sciences