Complex Systems and Computational Biology Approaches to Acute Inflammation

Complex Systems and Computational Biology Approaches to Acute Inflammation
Author :
Publisher : Springer Nature
Total Pages : 307
Release :
ISBN-10 : 9783030565107
ISBN-13 : 3030565106
Rating : 4/5 (07 Downloads)

Book Synopsis Complex Systems and Computational Biology Approaches to Acute Inflammation by : Yoram Vodovotz

Download or read book Complex Systems and Computational Biology Approaches to Acute Inflammation written by Yoram Vodovotz and published by Springer Nature. This book was released on 2020-11-04 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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