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|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
|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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