1 Introduction and Overview
2 Interesting Times: The Translational Dilemma and the Need for Translational Systems Biology of Inflammation
3 The Current Landscape: Where It Came From, How We Got Here, And What Is Wrong
4 A Brief History of the Philosophical Basis of the Scientific Endeavor
5 A Brief History of Biomedical Research up to the Molecular Biology Revolution
6 Biomedical Research Since the Molecular Revolution: An Embarrassment of Riches
7 Randomized Clinical Trials: A Bridge Too Far?
8 Complexity in Biomedical Research: Mysticism Versus Methods
9 Human Nature, Politics, and Translational Inertia
10 Translational Systems Biology: How We Propose To Fix The Problems Of The Current Biomedical Research Landscape
11 Towards Translational Systems Biology of Inflammation
12 Dynamic Knowledge Representation and the Power of Model Making
13 A Roadmap for a Rational Future: A Systematic Path for the Design and Implementation of New Therapeutics
14 Tools And Implementation Of Translational Systems Biology: This Is How We Do It
15 From Data to Knowledge in Translational Systems Biology: An Overview of Computational Approaches Across the Scientific Cycle
16 Data-Driven and Statistical Models: Everything Old is New Again
17 Mechanistic Modeling of Critical Illness Using Equations
18 Agent-Based Modeling and Translational Systems Biology: An Evolution in Parallel
19 Getting Science to Scale: Accelerating the Development of Translational Computational Models
20 A New Scientific Cycle for Translational Research and Healthcare Delivery
21 What is Old is New Again: The Scientific Cycle in the Twenty-First Century and Beyond