Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.
Published August 25, 2021 | Version v1
Journal article Open

The Multiple Dimensions of Networks in Cancer: A Perspective

  • 1. Audi Konfuzius-Institut Ingolstadt Lab at the Technische Hochschule Ingolstadt, 85049 Ingolstadt, Germany
  • 2. Department of Computer Science, University of Surrey, Guildford GU2 7XH, UK; r.bauer@surrey.ac.uk
  • 3. IBM Research Europe, 8803 Rüschlikon, Switzerland; mrm@zurich.ibm.com

Description

This perspective article gathers the latest developments in mathematical and computational oncology tools that exploit network approaches for the mathematical modelling, analysis, and simulation of cancer development and therapy design. It instigates the community to explore new paths and synergies under the umbrella of the Special Issue “Networks in Cancer: From Symmetry
Breaking to Targeted Therapy”. The focus of the perspective is to demonstrate how networks can model the physics, analyse the interactions, and predict the evolution of the multiple processes behind tumour-host encounters across multiple scales. From agent-based modelling and mechano-biology to machine learning and predictive modelling, the perspective motivates a methodology well suited to mathematical and computational oncology and suggests approaches that mark a viable path towards adoption in the clinic.

Files

symmetry-13-01559-v2.pdf

Files (2.2 MB)

Name Size Download all
md5:cbb8bc7e85c3c463c868b5c36d52cf66
2.2 MB Preview Download

Additional details

Funding

iPC – individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology 826121
European Commission