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, clini cal 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.

Inhaltsverzeichnis:

I. Introduction and Overview1.1 Interesting Times: The Translational Dilemma and the Need for Translational Systems Biology of Inflammation

II. The Current Landscape: Where It Came From, How We Got Here, And What Is Wrong2.1 A Brief History of the Philosophical Basis of the Scientific Endeavor2.2 A Brief History of Biomedical Research up to the Molecular Biology Revolution2.3 Biomedical Reserach Since the Molecular Revolution: An Embarassment of Riches2.3 Randomized Clinical Trials: A Bridge Too Far?2.5 Complexity in Biomedical Research: Mysticism Versus Methods2.6 Human Nature, Politics, and Translational Intertia

III. Translational Systems Biology: How We Propose To Fix The Problems Of The Current Biomedical Research Landscape3.1 Towards Translational Systems Biology of Inflammation3.2 Dynamic Knowledge Representation and the Power of Model Making3.3 A Roadmap for a Rational Future: A Systematic Path for the Design and Implemetation of New Therapeutics

IV. Tools And Implementation Of Translational Systems Biology: This Is How We Do It4.1 From Data to Knowledge in Translational Systems Biology: An Overview of Computational Approaches Across the Scientific Cycle4.2 Data-Driven and Statistical Models: Everything Old is New Again4.3 Mechanistic Modeling of Critical Illness Using Equations4.4 Agent-Based Modeling and Translational Systems Biology: An Evolution in Parallel4.5 Getting Science to Scale: Accelerating the Development of Translational Computational Models

V. A New Scientific Cycle for Translational Research and Healthcare Delivery5.1 What is Old is New Again: The Scientific Cycle in the Twenty-First Century and Beyond