Multi-scale modelling in computational biomedicine
| Item Type |
Journal Article |
| Author |
Peter M A Sloot |
| Author |
Alfons G Hoekstra |
| URL |
http://www.ncbi.nlm.nih.gov/pubmed/20028713
|
| Publication |
Briefings in Bioinformatics |
| ISSN |
1477-4054 |
| Date |
Dec 22, 2009 |
| Extra |
| Journal Abbr |
Brief Bioinform |
| DOI |
10.1093/bib/bbp038 |
| Accessed |
2010-01-01 14:13:45 |
| Library Catalog |
NCBI PubMed |
| 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. |
| Title |
Multi-scale modelling in computational biomedicine |
| Date Added |
2009-01-01 09:13 |
| Date Modified |
2009-01-01 09:13 |