Complex Systems and Computational Biology Approaches to Acute Inflammation - A Framework for Model-based Precision Medicine (Hardcover, 2nd ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	November 2020
First published:	2021
Editors:	Yoram Vodovotz • Gary An
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	312
Edition:	2nd ed. 2021
ISBN-13:	978-3-03-056509-1
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Medicine > Clinical & internal medicine > Diseases & disorders > Immunology > General Promotions
LSN:	3-03-056509-2
Barcode:	9783030565091

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