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by A. Quarteroni,L. Formaggia,A. Veneziani

Download Complex Systems in Biomedicine fb2, epub

ISBN: 8847015553
Author: A. Quarteroni,L. Formaggia,A. Veneziani
Language: English
Publisher: Springer; Softcover reprint of hardcover 1st ed. 2006 edition (December 21, 2010)
Pages: 292
Category: Engineering
Subcategory: Engineering
Rating: 4.2
Votes: 202
Size Fb2: 1408 kb
Size ePub: 1528 kb
Size Djvu: 1485 kb
Other formats: mbr rtf docx rtf


ISBN-13: 978-8847015555.

Complex Systems Department, Biocomplexity Group, Physics InstituteNational Autonomous University of MexicoMexico CityMexico.

Complex Systems in Biomedicine. A. Quarteroni, L. Formaggia, A. Veneziani. It encompasses the modeling of most diverse compartments such as the cardiovas- lar,respiratory,stems,landbioch- ical interaction between blood ?ow and arterial walls, and electrocardiac processes and electric conduction in biological tissues.

Alfio Quarteroni, Luca Formaggia, Alessandro Veneziani.

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and very well presented.

A. Formaggia, and A. Veneziani, Complex Systems in Biomedicine, Springer, Milano, 2006. Acknowledgments The contributions from Davide Detomi and Nicola Parolini to the section on Mathematical Models for America’s Cup are gratefully acknowledged

A. Acknowledgments The contributions from Davide Detomi and Nicola Parolini to the section on Mathematical Models for America’s Cup are gratefully acknowledged.

Mathematicalmodelingofhumanphysiopathologyisatremendouslyambitioustask. It encompasses the modeling of most diverse compartments such as the cardiovas- lar,respiratory,skeletalandnervoussystems,aswellasthemechanicalandbioch- ical interaction between blood ?ow and arterial walls, and electrocardiac processes and electric conduction in biological tissues. Mathematical models can be set up to simulate both vasculogenesis (the aggregation and organization of endothelial cells dispersed in a given environment) and angiogenesis (the formation of new vessels sprouting from an existing vessel) that are relevant to the formation of vascular networks, and in particular to the description of tumor growth. The integration of models aimed at simulating the cooperation and interrelation of different systems is an even more dif?cult task. It calls for the setting up of, for instance, interaction models for the integrated cardio-vascular system and the interplay between the central circulation and peripheral compartments, models for the mid-to-long range cardiovascular adjustments to pathological conditions (e.g., to account for surgical interventions, congenital malformations, or tumor growth), models for integration among circulation, tissue perfusion, biochemical and thermal regulation, models for parameter identi?cation and sensitivity analysis to parameter changes or data uncertainty – and many others.

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