Translational Systems Biology
Concepts and Practice for the Future of Biomedical Research
Published on 30. October 2018
Book
Paperback/Softback
178 pages
978-0-12-810147-6 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Biomedical researchers of complex diseases working on systems-driven approaches to clinical diagnosis; biomedical entrepreneurs looking for rational, cost-effective, and unified means of driving drug/device development from the pre-clinical stage to clinical trials and use in the marketplace.
Dimensions
Height: 276 mm
Width: 216 mm
ISBN-13
978-0-12-810147-6 (9780128101476)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Yoram Vodovotz | Gary An
Translational Systems Biology
Concepts and Practice for the Future of Biomedical Research
Book
10/2014
Academic Press
€111.50
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Persons
Yoram Vodovotz, Ph.D., is currently the President of the Society for Complexity in Acute Illness. His research interests include the biology of acute inflammation in shock states, chronic inflammatory diseases, wound healing, malaria, and restenosis. His work utilizes mathematical modeling to unify and gain insight into the biological interactions that characterize these inflammatory conditions. As the Director of the Center for Inflammation and Regenerative Modeling (CIRM) at the University of Pittsburgh's McGowan Institute for Regenerative Medicine, he has been involved in the mathematical modeling of acute inflammatory states (e.g. septic or hemorrhagic shock, wound healing), including cellular and physiological elements, as part of a large, interdisciplinary collaborative team. He is also a co-founder of Immunetrics, Inc., a company that is commercializing this mathematical modeling work. Gary An is a trauma/critical care surgeon at The University of Chicago engaged in translational computational research. His work on system-level simulations of trauma and sepsis led him to a more general concern about the ability of biomedical researchers to represent their knowledge and hypotheses in a form that can be "executed,? so that the dynamic consequences of their hypotheses can be seen and evaluated. He is the author of over 59 primary papers and book chapters, is a Senior Fellow of the University of Chicago Computation Institute and current president of the Swarm Development Group for simulation software.
Content
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
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