Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine

Massimiliano Zanin; Ivan Chorbev; Blaz Stres; Egils Stalidzans; Julio Vera; Paolo Tieri; Filippo Castiglione; Derek Groen; Huiru Zheng; Jan Baumbach; Johannes A. Schmid; Jose Basilio; Peter Klimek; Nataša Debeljak; Damjana Rozman; Harald H.H.W. Schmidt

doi:10.1093/bib/bbx160

Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine

Massimiliano Zanin, Ivan Chorbev, Blaz Stres, Egils Stalidzans, Julio Vera, Paolo Tieri, Filippo Castiglione, Derek Groen, Huiru Zheng, Jan Baumbach, Johannes A. Schmid, Jose Basilio, Peter Klimek, Nataša Debeljak, Damjana Rozman, Harald H.H.W. Schmidt

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

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.

Original language	English
Article number	bbx160
Pages (from-to)	1057-1062
Number of pages	6
Journal	Briefings in Bioinformatics
Volume	20
Issue number	3
DOIs	https://doi.org/10.1093/bib/bbx160
State	Published - 2 Nov 2017
Externally published	Yes

Keywords

computing
data science
modelling
systems medicine

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10.1093/bib/bbx160

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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., & 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), 1057-1062. Article bbx160. https://doi.org/10.1093/bib/bbx160

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abstract = "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.",

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author = "Massimiliano Zanin and Ivan Chorbev and Blaz Stres and Egils Stalidzans and Julio Vera and Paolo Tieri and Filippo Castiglione and Derek Groen and Huiru Zheng and Jan Baumbach and Schmid, {Johannes A.} and Jose Basilio and Peter Klimek and Nata{\v s}a Debeljak and Damjana Rozman and Schmidt, {Harald H.H.W.}",

note = "Publisher Copyright: {\textcopyright} 2017 The Author 2017. Published by Oxford University Press.",

year = "2017",

month = nov,

day = "2",

doi = "10.1093/bib/bbx160",

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volume = "20",

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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 2017, 'Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine', Briefings in Bioinformatics, vol. 20, no. 3, bbx160, pp. 1057-1062. https://doi.org/10.1093/bib/bbx160

TY - JOUR

T1 - Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine

AU - Zanin, Massimiliano

AU - Chorbev, Ivan

AU - Stres, Blaz

AU - Stalidzans, Egils

AU - Vera, Julio

AU - Tieri, Paolo

AU - Castiglione, Filippo

AU - Groen, Derek

AU - Zheng, Huiru

AU - Baumbach, Jan

AU - Schmid, Johannes A.

AU - Basilio, Jose

AU - Klimek, Peter

AU - Debeljak, Nataša

AU - Rozman, Damjana

AU - Schmidt, Harald H.H.W.

PY - 2017/11/2

Y1 - 2017/11/2

N2 - 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.

AB - 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.

KW - computing

KW - data science

KW - modelling

KW - systems medicine

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M3 - Article

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AN - SCOPUS:85068488858

SN - 1467-5463

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JO - Briefings in Bioinformatics

JF - Briefings in Bioinformatics

IS - 3

M1 - bbx160

ER -

Community effort endorsing multiscale modelling, multiscale data science and multiscale computing for systems medicine

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