Skip to main navigation Skip to search Skip to main content

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 journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1-8
JournalBriefings in Bioinformatics
Volume2017
Publication statusAccepted - 1 Nov 2017

Keywords

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

Fingerprint

Dive into the research topics of 'Community effort endorsing multiscale modeling, multiscale data science and multiscale computing for systems medicine'. Together they form a unique fingerprint.

Cite this