Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84326
Title: Multi-scale modelling in computational biomedicine
Authors: Sloot, Peter M. A.
Hoekstra, Alfons G.
Issue Date: 2009
Source: Sloot, P. M. A., & Hoekstra, A. G. (2009). Multi-scale modelling in computational biomedicine. Briefings in Bioinformatics, 11(1), 142-152.
Series/Report no.: Briefings in bioinformatics
Abstract: The inherent complexity of biomedical systems is well recognized; they are multi-scale, multi-science systems, bridging a wide range of temporal and spatial scales. This article reviews the currently emerging field of multi-scale modelling in computational biomedicine. Many exciting multi-scale models exist or are under development. However, an underpinning multi-scale modelling methodology seems to be missing. We propose a direction that complements the classic dynamical systems approach and introduce two distinct case studies, transmission of resistance in human immunodeficiency virus spreading and in-stent restenosis in coronary artery disease.
URI: https://hdl.handle.net/10356/84326
http://hdl.handle.net/10220/10116
DOI: 10.1093/bib/bbp038
Rights: © 2009 The Author.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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