Community effort endorsing multiscale modeling, 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 Schmid, Jose Basilio, Peter Klimek, Nataša Debeljak, Damjana Rozman, Harald Schmidt

Research output: Contribution to journalArticle

Abstract

Key Points• Most diseases are characterised by a complex interplay of multiple factors,which is the focus of the new systems medicine approach.• Most disease definitions are 18th/19th century and organ- or symptom-basedand may mechanistically combine entirely different phenotypes• A necessary step is the identification of barriers and challenges of multiscalesystems medicine through a collective effort.• We here present four questionnaires through which we aim at gatheringfeedbacks from the community.
LanguageEnglish
Pages1-8
JournalBriefings in Bioinformatics
Volume2017
Publication statusAccepted/In press - 1 Nov 2017

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Systems Analysis
Medicine
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Surveys and Questionnaires

Keywords

  • multiscale modeling
  • multiscale data science
  • multiscale computing
  • systems
  • medicine

Cite this

Zanin, M., Chorbev, I., Stres, B., Stalidzans, E., Vera, J., Tieri, P., ... Schmidt, H. (Accepted/In press). Community effort endorsing multiscale modeling, multiscale data science and multiscale computing for systems medicine. Briefings in Bioinformatics, 2017, 1-8.
Zanin, Massimiliano ; Chorbev, Ivan ; Stres, Blaz ; Stalidzans, Egils ; Vera, Julio ; Tieri, Paolo ; Castiglione, Filippo ; Groen, Derek ; Zheng, Huiru ; Baumbach, Jan ; Schmid, Johannes ; Basilio, Jose ; Klimek, Peter ; Debeljak, Nataša ; Rozman, Damjana ; Schmidt, Harald. / Community effort endorsing multiscale modeling, multiscale data science and multiscale computing for systems medicine. In: Briefings in Bioinformatics. 2017 ; Vol. 2017. pp. 1-8.
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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, Basilio, J, Klimek, P, Debeljak, N, Rozman, D & Schmidt, H 2017, 'Community effort endorsing multiscale modeling, multiscale data science and multiscale computing for systems medicine', Briefings in Bioinformatics, vol. 2017, pp. 1-8.

Community effort endorsing multiscale modeling, multiscale data science and multiscale computing for systems medicine. / Zanin, Massimiliano; Chorbev, Ivan; Stres, Blaz; Stalidzans, Egils; Vera, Julio; Tieri, Paolo; Castiglione, Filippo; Groen, Derek; Zheng, Huiru; Baumbach, Jan; Schmid, Johannes; Basilio, Jose; Klimek, Peter; Debeljak, Nataša; Rozman, Damjana; Schmidt, Harald.

In: Briefings in Bioinformatics, Vol. 2017, 01.11.2017, p. 1-8.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Community effort endorsing multiscale modeling, 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

AU - Basilio, Jose

AU - Klimek, Peter

AU - Debeljak, Nataša

AU - Rozman, Damjana

AU - Schmidt, Harald

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Key Points• Most diseases are characterised by a complex interplay of multiple factors,which is the focus of the new systems medicine approach.• Most disease definitions are 18th/19th century and organ- or symptom-basedand may mechanistically combine entirely different phenotypes• A necessary step is the identification of barriers and challenges of multiscalesystems medicine through a collective effort.• We here present four questionnaires through which we aim at gatheringfeedbacks from the community.

AB - Key Points• Most diseases are characterised by a complex interplay of multiple factors,which is the focus of the new systems medicine approach.• Most disease definitions are 18th/19th century and organ- or symptom-basedand may mechanistically combine entirely different phenotypes• A necessary step is the identification of barriers and challenges of multiscalesystems medicine through a collective effort.• We here present four questionnaires through which we aim at gatheringfeedbacks from the community.

KW - multiscale modeling

KW - multiscale data science

KW - multiscale computing

KW - systems

KW - medicine

M3 - Article

VL - 2017

SP - 1

EP - 8

JO - Briefings in Bioinformatics

T2 - Briefings in Bioinformatics

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