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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/84326 http://hdl.handle.net/10220/10116 |
| _version_ | 1824454085231771648 |
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| author | Sloot, Peter M. A. Hoekstra, Alfons G. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Sloot, Peter M. A. Hoekstra, Alfons G. |
| author_sort | Sloot, Peter M. A. |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:16:42Z |
| format | Journal Article |
| id | ntu-10356/84326 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:16:42Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-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. |
| spellingShingle | Sloot, Peter M. A. Hoekstra, Alfons G. Multi-scale modelling in computational biomedicine |
| title | 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_short | Multi-scale modelling in computational biomedicine |
| title_sort | multi scale modelling in computational biomedicine |
| url | https://hdl.handle.net/10356/84326 http://hdl.handle.net/10220/10116 |
| work_keys_str_mv | AT slootpeterma multiscalemodellingincomputationalbiomedicine AT hoekstraalfonsg multiscalemodellingincomputationalbiomedicine |