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. © The Author 2009. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org.
CITATION STYLE
Sloot, P. M. A., & Hoekstra, A. G. (2009). Multi-scale modelling in computational biomedicine. Briefings in Bioinformatics, 11(1), 142–152. https://doi.org/10.1093/bib/bbp038
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