Translational Systems Biology: Concepts and Practice for the Future of Biomedical Research

Are we satisfied with the rate of drug development? Are we happy with the drugs that come to market? Are we getting our money's worth in spending for basic biomedical research? In Translational Systems Biology, Drs. Yoram Vodovotz and Gary An address these questions by providing a foundational description the barriers facing biomedical research today and the immediate future, and how these barriers could be overcome through the adoption of a robust and scalable approach that will form the underpinning of biomedical research for the future. By using a combination of essays providing the intellectual basis of the Translational Dilemma and reports of examples in the study of inflammation, the content of Translational Systems Biology will remain relevant as technology and knowledge advances bring broad translational applicability to other diseases. Translational systems biology is an integrated, multi-scale, evidence-based approach that combines laboratory, clinical and computational methods with an explicit goal of developing effective means of control of biological processes for improving human health and rapid clinical application. This comprehensive approach to date has been utilized for in silico studies of sepsis, trauma, hemorrhage, and traumatic brain injury, acute liver failure, wound healing, and inflammation. Provides an explicit, reasoned, and systematic approach to dealing with the challenges of translational science across disciplinesEstablishes the case for including computational modeling at all stages of biomedical research and healthcare delivery, from early pre-clinical studies to long-term care, by clearly delineating efficiency and costs saving important to business investmentGuides readers on how to communicate across domains and disciplines, particularly between biologists and computational researchers, to effectively develop multi- and trans-disciplinary research teams INDICE: Section 1: Overview Chapter 1.1. The Need for Translational Systems Biology Chapter 1.2: A Brief History of the Scientific Cycle Chapter 1.3: A Brief History of Biomedical Research up to the Molecular Biology Revolution Chapter 1.4: Biomedical Research since the Molecular Revolution: Pros and Cons Section 2: The Fragmented Continuum of Healthcare and the Translational Dilemma: Implications on the Drug Development Pipeline Chapter 2.1: Irrational Drug Development? Chapter 2.3: Randomized Clinical Trials: Evidence of an Outmoded Concept? Section 3: Biocomplexity, Human Nature, and Politics: the Unholy Trinity of Translational Inertia Chapter 3.1: Biocomplexity and Complexity Science: Sorting out the Wheat from the Chaff Chapter 3.2: Human Nature, Politics, and Translational Inertia Section 4: Translational Systems Biology Chapter 4.1: Towards Translational Systems Biology of Inflammation Chapter 4.2: Dynamic Knowledge Representation Chapter 4.3: In Silico Clinical Trials Chapter 4.4: Model-Based Personalized Diagnostics Chapter 4.5: Rational Drug/Device Design Section 5: Inter- and Trans-disciplinary Teams in Translational Systems Biology Chapter 5.1: Reductionist Biomedical R&D Chapter 5.2: The Death of Single Disciplines: A Systems Approach to Inter- and Trans-Disciplinary Biomedical Research Section 6: Dynamic Computational Modeling: Theory and Methods Chapter 6.1: From Data to Knowledge using Dynamic Computational Modeling Chapter 6.2: Data-driven and Statistical Models: Everything Old is New Again Chapter 6.3: Mechanistic Modeling using Equations Chapter 6.4: Mechanistic Modeling using Agents and Rules Chapter 6.5: Establishing Modeling & Simulation Standards and Automating Model Construction Section 7: A New Scientific Cycle for Translational Research and Healthcare Delivery Chapter 7.1: What is Old is New Again: The Scientific Cycle in the 21st Century and Beyond

• ISBN: 978-0-12-397884-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Fecha Publicación: 12/11/2014
• Nº Volúmenes: 1
• Idioma: Inglés