Complex Systems and Computational Biology Approaches to Acute Inflammation: A Framework for Model-Based Precision Medicine

ISBN-13: 9783030565091 / Angielski / Twarda / 2020 / 312 str.

Yoram Vodovotz; Gary An

Spis treści

Part I: Overview

Chapter 1:  “An Overview of the Translational Dilemma and the Need for Model-based Precision Medicine” Yoram Vodovotz and Gary An

Part II:  “Computational Modeling Methods and Biomedical Applications”

Chapter 2: Translational Equation-based Modeling –Gilles Clermont

Chapter 3:  Agent-based Modeling in Translational Systems Biology –Gary An 

Chapter 4: Integrating Data-driven and Mechanistic Modeling in Sepsis and Trauma –Yoram Vodovotz

Chapter 5: Therapeutics as Control:Model-based approaches for control discovery –Chase Cockrell, Judy Day, Gary An

Part III: Translational Modeling of Sepsis and Trauma

Chapter 6: Disorder of Systemic Inflammation in Sepsis and Trauma: A Systems Perspective –Tim Billiar 

Chapter 7: Multiscale Equation-based Models: Insights for Inflammation and Physiological Variability –Ioannis Androulakis

Chapter 8: In silicoTrials and Personalized Therapy for Sepsis and Trauma –Vodovotz, Bartels and An

Chapter 9: Computational Modeling of the Coagulation Response –Scott Diamond

Part IV: Translational Modeling of Organ/Tissue Specific Inflammatory Disease Processes 

Chapter 10: Disorder of Localized Inflammation in Wound Healing –Stephen Badylak

Chapter11: Equation-based Models of Wound Healing and Collective Cell Migration –Julia Arciero and David Swigon

Chapter 12: Agent-based Models of Wound Healing –Yoram Vodovotz and Gary An

Chapter 13: Tissue realistic translational modeling of gut inflammation –Chase Cockrell and Gary An

Chapter 14: Data-DrivenModeling of Liver Injury, Inflammation, and Fibrosis –Ruben Zamora and Yoram Vodovotz

Chapter 15: Computational Modeling of Tuberculosis –Denise Kirschner

Part V: Future Perspectives: Translation to Implementation

Chapter 16:  “The Rationale and Implementation of Model-based Precision Medicine for Inflammatory Diseases”Gary An and Yoram Vodovotz

O autorze

Dr. Yoram Vodovotz is currently a Professor of Surgery, Immunology, Computational and Systems Biology, Bioengineering, Clinical and Translational Science, and Communication Science and Disorders at the University of Pittsburgh School of Medicine. His research focus is the systems biology of inflammation. He is the Director of the Center for Inflammation and Regeneration Modeling at the McGowan Institute for Regenerative Medicine, a co-founder and past President of the Society for Complex Acute Illness, and a co-founder of Immunetrics, Inc., a Pittsburgh-based company that is commercializing this mathematical modeling work. He has published over 300 manuscripts, including three books.

Dr. Gary An is a Professor of Surgery and Vice-Chairman for Surgical Research in the Department of Surgery at the University of Vermont Larner College of Medicine. He is a founding member of the Society of Complexity in Acute Illness and past president of the Swarm Development Group, one of the original organizations promoting the use of agent-based modeling for scientific investigation. In addition to being an active trauma/critical care surgeon he has worked on the application of complex systems analysis to sepsis and inflammation since 1999 and consists of development of mechanism-based computer simulations and integration of machine learning and artificial intelligence with multi-scale simulation models for discovery of therapeutic control modalities.

Blurb

This second edition expands upon and updates the vital research covered in its predecessor, by presenting state-of-the-art multidisciplinary and systems-oriented approaches to complex diseases arising from and driven by the acute inflammatory response. The chapters in this volume provide an introduction to different types of computational modeling, and how these methods can be applied to specific inflammatory diseases, with a focus on providing readers a roadmap for integrating advanced mathematical and computational techniques with traditional experimental methods. In this second edition, we cover both well-established and emerging modeling methods, especially state-of-the-art machine learning approaches and the integration of data-driven and mechanistic modeling.

This volume introduces the concept of Model-based Precision Medicine as an alternative approach to the current view of Precision Medicine, based on leveraging mechanistic computational modeling to decrease cost while increasing the information value of the data being obtained.

By presenting the role of computational modeling as an integrated component of the research process, Complex Systems and Computational Biology Approaches to Acute Inflammation:  A Framework for Model-based Precision Medicine offers a window into the recent past, the present, and the future of computationally-augmented biomedical research.