Principles of Translational Science in Medicine, Second Edition: From Bench to Bedside

Content: 
Front Matter, Page iii
Copyright, Page iv
List of Contributors, Pages xi-xii, Paula B. Andrade, Faisal Azam, Daniela Bernardi, Rudolf de Boer, Luciano Castellio, Jon Cleland, Frank Dieterle, Georg Ferber, João C. Fernandes, C.Simone Fishburn, Ekkehard Glimm, Palmira Granados Moreno, R.J. Guzman, Kevin P. High, Ping Jin, Lars Johansson, Rebecca Johnson, Yann Joly, Cecilia Karlsson, David J. Kerr, D.P.V. de Kleijn,  et al.
Preface, Page xiii
Chapter 1 - Introduction and Definitions, Pages 1-12
Chapter 2.1.1 - “Omics” Translation: A Challenge for Laboratory Medicine, Pages 15-24, Mario Plebani, Martina Zaninotto, Giuseppe Lippi
Chapter 2.1.2 - “Omics” Technologies: Promises and Benefits for Molecular Medicine, Pages 25-39, David M. Pereira, João C. Fernandes, Patrícia Valentão, Paula B. Andrade
Chapter 2.1.3 - Potency Analysis of Cellular Therapies: The Role of Molecular Assays, Pages 41-58, David F. Stroncek, Ping Jin, Ena Wang, Jiaqiang Ren, Luciano Castellio, Marianna Sabatino, Francesco M. Marincola
Chapter 2.1.4 - Translational Pharmacogenetics to Support Pharmacogenetically Driven Clinical Decision Making, Pages 59-73, Julia Stingl
Chapter 2.1.5 - Tissue Biobanks, Pages 75-82, W. Peeters, F.L. Moll, R.J. Guzman, D.P.V. de Kleijn, G. Pasterkamp
Chapter 2.1.6 - Animal Models: Value and Translational Potency, Pages 83-90, Philipp Mergenthaler, Andreas Meisel
Chapter 2.1.7 - Localization Technologies and Immunoassays: Promises and Benefits for Molecular Medicine, Pages 91-99, Estelle Marrer, Frank Dieterle, Jacky Vonderscher
Chapter 2.1.8 - Biomarkers in the Context of Health Authorities and Consortia, Pages 101-106, Frank Dieterle, Estelle Marrer, Jacky Vonderscher
Chapter 2.1.9 - Human Studies as a Source of Target Information, Pages 107-113
Chapter 2.2 - Target Profiling in Terms of Translatability and Early Translation Planning, Pages 115-123
Chapter 3.1 - Defining Biomarkers as Very Important Contributors to Translational Science, Pages 127-130
Chapter 3.2 - Classes of Biomarkers, Pages 131-144
Chapter 3.3 - Development of Biomarkers, Pages 145-149
Chapter 3.4 - Predictivity Classification of Biomarkers and Scores, Pages 151-154
Chapter 3.5 - Case Studies, Pages 155-157
Chapter 3.6 - Biomarker Panels and Multiple Readouts, Pages 159-166, Andrea Padoan, Daniela Bernardi, Mario Plebani
Chapter 3.7.1 - Cardiovascular Biomarkers: Translational Aspects of Hypertension, Atherosclerosis, and Heart Failure in Drug Development, Pages 167-183, A. Rogier van der Velde, Wouter C. Meijers, Rudolf A. de Boer
Chapter 3.7.2 - Biomarkers in Oncology, Pages 185-188, Jon Cleland, Faisal Azam, Rachel Midgley, David J. Kerr
Chapter 3.7.3 - Translational Imaging Research, Pages 189-194, Lars Johansson
Chapter 3.7.4 - Translational Medicine in Psychiatry: Challenges and Imaging Biomarkers, Pages 195-213, Andreas Meyer-Lindenberg, Heike Tost, Emanuel Schwarz
Chapter 4.1 - Methodological Studies, Pages 217-225, Faisal Azam, Rhiana Newport, Rebecca Johnson, Rachel Midgley, David J. Kerr
Chapter 4.2 - The Pharmaceutical R&D Productivity Crisis: Can Exploratory Clinical Studies Be of Any Help?, Pages 227-228, Cecilia Karlsson
Chapter 4.3 - Exploratory Clinical Studies (“Phase 0 Trials”), Pages 229-233, Cecilia Karlsson
Chapter 4.4 - Adaptive Trial Design, Pages 235-238
Chapter 4.5 - Combining Regulatory and Exploratory Trials, Pages 239-242
Chapter 4.6 - Accelerating Proof-of-Concept by Smart Early Clinical Trials, Pages 243-247
Chapter 5 - Pharmaceutical Toxicology, Pages 249-266, Steffen Ernst
Chapter 6 - Translational Science Biostatistics, Pages 267-280, Georg Ferber, Ekkehard Glimm
Chapter 7 - Intellectual Property and Innovation in Translational Medicine, Pages 281-297, Palmira Granados Moreno, Yann Joly
Chapter 8 - Translational Research in the Fastest-Growing Population: Older Adults, Pages 299-311, Kevin P. High, Stephen Kritchevsky
Chapter 9 - Translational Medicine: The Changing Role of Big Pharma, Pages 313-325, C. Simone Fishburn
Chapter 10 - Translational Science in Medicine: Putting the Pieces Together: Biomarkers, Early Human Trials, Networking, and Translatability Assessment, Pages 327-329
Chapter 11 - Learning by Experience: Examples of Translational Processes in the Cardiovascular Field, Pages 331-337
Index, Pages 339-350