Multi-scale modelling in computational biomedicine

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 mode...

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Main Authors: Sloot, Peter M. A., Hoekstra, Alfons G.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/84326
http://hdl.handle.net/10220/10116
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-843262020-05-28T07:18:15Z Multi-scale modelling in computational biomedicine Sloot, Peter M. A. Hoekstra, Alfons G. School of Computer Engineering 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. 2013-06-10T04:46:21Z 2019-12-06T15:42:48Z 2013-06-10T04:46:21Z 2019-12-06T15:42:48Z 2009 2009 Journal Article Sloot, P. M. A., & Hoekstra, A. G. (2009). Multi-scale modelling in computational biomedicine. Briefings in Bioinformatics, 11(1), 142-152. https://hdl.handle.net/10356/84326 http://hdl.handle.net/10220/10116 10.1093/bib/bbp038 en Briefings in bioinformatics © 2009 The Author.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Sloot, Peter M. A.
Hoekstra, Alfons G.
format Article
author Sloot, Peter M. A.
Hoekstra, Alfons G.
spellingShingle Sloot, Peter M. A.
Hoekstra, Alfons G.
Multi-scale modelling in computational biomedicine
author_sort Sloot, Peter M. A.
title Multi-scale modelling in computational biomedicine
title_short Multi-scale modelling in computational biomedicine
title_full Multi-scale modelling in computational biomedicine
title_fullStr Multi-scale modelling in computational biomedicine
title_full_unstemmed Multi-scale modelling in computational biomedicine
title_sort multi-scale modelling in computational biomedicine
publishDate 2013
url https://hdl.handle.net/10356/84326
http://hdl.handle.net/10220/10116
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