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

Massimiliano Zanin1, Ivan Chorbev2, Blaz Stres3

  • 1Universidade Nove de Lisboa.

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Summary

Systems medicine shows promise but needs clinical translation. This initiative seeks community feedback to identify and overcome barriers, aiming to accelerate the adoption of systems medicine in healthcare.

Keywords:
computingdata sciencemodellingsystems medicine

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Area of Science:

  • Multiscale Systems Medicine
  • Computational Biology
  • Translational Bioinformatics

Background:

  • Systems medicine offers significant potential for advancing healthcare but faces challenges in clinical implementation.
  • Limited proofs of principle hinder the widespread adoption of systems medicine approaches.

Purpose of the Study:

  • To identify and address barriers to the clinical translation of systems medicine.
  • To engage the scientific community in a structured feedback process.
  • To accelerate the clinical application of systems medicine through collaborative efforts.

Main Methods:

  • Community engagement through structured feedback collection.
  • Analysis of barriers and challenges in systems medicine translation.
  • Development of white papers and open-access resources.

Main Results:

  • Identification of key obstacles hindering clinical translation.
  • Gathering of community insights and proposed solutions.
  • Foundation laid for future white papers and resources.

Conclusions:

  • Addressing identified barriers is crucial for advancing systems medicine.
  • Community collaboration is essential for accelerating clinical translation.
  • Open-access resources will support the integration of systems medicine into practice.