BookYoram Vodovotz, Gary An.
Contents:
Ch. 1.1. Interesting times: the translational dilemma and the need for translational systems biology of inflammation
Ch. 2.1. A brief history of the philosophical basis of the scientific endeavor: how we know what we know, and how to know more
Ch. 2.2. A brief history of biomedical research up to the molecular biology revolution
Ch. 2.3. Biomedical research since the molecular revolution: an embarrassment of riches
Ch. 2.4. Randomized clinical trials: a bridge too far?
Ch. 2.5. Complexity in biomedical research: mysticism versus methods
Ch. 2.6. Human nature, politics, and translational inertia
Ch. 3.1. Towards translational systems biology of inflammation
Ch. 3.2. Dynamic knowledge representation and the power of model making
Ch. 3.3. A roadmap for a rational future: a systematic path for the design and implementation of new therapeutics
Ch. 4.1. From data to knowledge in translational systems biology: an overview of computational approaches across the scientific cycle
Ch. 4.2. Data-driven and statistical models: everything old is new again
Ch. 4.3. Mechanistic modeling of critical illness using equations
Ch. 4.4. Agent-based modeling and translational systems biology: an evolution in parallel
Ch. 4.5. Getting science to scale: accelerating the development of translational computational models
Ch. 5.1. What is old is new again: the scientific cycle in the twenty-first century and beyond
Index.