Principles of Translational Science in Medicine
Despite advancements in the cloning of the human genome, biomedical innovations at patient level are rare events. Translational medicine is, however, a burgeoning science that shows potential to reverse the trend. This textbook provides a survey of translational medicine, emphasising its emerging scientific backbone, its strengths and weaknesses. It explores all aspects of preclinical and clinical issues relevant to the success of translational pharmaceutical or medical device or diagnostic innovations, including target risk assessment, biomarker evaluation, and predictivity grading for both efficacy and toxicity; early human trial designs, adequate to guide stop or go decisions on the grounds of biomarker panels; and biostatistical methods to analyze multiple readout situations and quantify risk projections. Translational Science in Medicine provides guidance to design profiling strategies for new approaches to the field. By generating dialogue about translational science Wehling explores the implications of this field on the future of patient care.
- Takes a multidisciplinary approach across borders in science: preclinical/clinical
- Analyzes complex multilayered processes both focused and standardized to create blueprints
Product details
December 2009Hardback
9780521888691
404 pages
261 × 181 × 25 mm
1.03kg
57 b/w illus. 19 colour illus. 30 tables
Available
Table of Contents
- 1. Introduction and definitions M. Wehling 2. Target identification and validation M. Plebani, M. Zaninotto, G. Lippi, E. Marrer, F. Dieterle, J. Vonderscher, D. Stroncek, P. Jin, E. Wang, J. Ren, F. M. Marincola, J. Kirchheiner, W. Peeters, W. J. M. Derksen, D. P. V. de Kleijn, G. Pasterkamp and M. Grasso 3. Biomarkers M. Wehling, D. Bernardi, M. Plebani, L. Lind, F. Azam, R. Midgley, D. J. Kerr, L. Johansson, A. Meyer-Lindenberg and H. Tost 4. Early clinical trial design F. Azam, R. Midgley, D. J. Kerr and C. Karlsson 5. Pharmaceutical toxicology S. Ernst, S. Boyer and S. Platz 6. Translational science biostatistics G. Ferber and E. Glimm 7. Learning by experience: examples of translational processes in the cardiovascular field M. Wehling.