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http://bura.brunel.ac.uk/handle/2438/20157| Title: | Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine |
| Authors: | Zanin, M Chorbev, I Stres, B Stalidzans, E Vera, J Tieri, P Castiglione, F Groen, D Zheng, H Baumbach, J Schmid, JA Basilio, J Klimek, P Debeljak, N Rozman, D Schmidt, HHHW |
| Keywords: | systems medicine;modelling;data science;computing |
| Issue Date: | 2-Nov-2017 |
| Publisher: | Oxford University Press |
| Citation: | Zanin, M., Chorbev, I., Stres, B., Stalidzans, E., Vera, J., Tieri, P., Castiglione, F., Groen, D., Zheng, H., Baumbach, J., Schmid, J.A., Basilio, J., Klimek, P., Debeljak, N., Rozman, D. and Schmidt, H.H.H.W. (2017) 'Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine', Briefings in Bioinformatics, 20 (3), pp. 1057 - 1062. doi: 10.1093/bib/bbx160. |
| Abstract: | © 2017 The Author 2017. Published by Oxford University Press. Systems medicine holds many promises, but has so far provided only a limited number of proofs of principle. To address this road block, possible barriers and challenges of translating systems medicine into clinical practice need to be identified and addressed. The members of the European Cooperation in Science and Technology COST) Action CA15120 Open Multiscale Systems Medicine OpenMultiMed) wish to engage the scientific community of systems medicine and multiscale modelling, data science and computing, to provide their feedback in a structured manner. This will result in follow-up white papers and open access resources to accelerate the clinical translation of systems medicine. |
| URI: | https://bura.brunel.ac.uk/handle/2438/20157 |
| DOI: | https://doi.org/10.1093/bib/bbx160 |
| ISSN: | 1467-5463 |
| Appears in Collections: | Dept of Computer Science Research Papers |
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