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.
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symmetry-13-01559-v2.pdf
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