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The Multiple Dimensions of Networks in Cancer: A Perspective

  • 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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Metadaten
Author:Cristian AxenieORCiD, Roman BauerORCiD, María Rodríguez MartínezORCiD
Language:English
Document Type:Article
Year of first Publication:2021
published in (English):Symmetry
Publisher:MDPI
Place of publication:Basel
ISSN:2073-8994
Volume:13
Issue:9
Pages:22
Article Number:1559
Review:peer-review
Open Access:ja
Version:published
Tag:cancer; machine learning; mathematical and computational oncology; mechano-biology; networks
URN:urn:nbn:de:bvb:573-13053
Related Identifier:https://doi.org/10.3390/sym13091559
Faculties / Institutes / Organizations:Audi Konfuzius-Institut Ingolstadt (AKII)
Licence (German):License Logo Creative Commons BY 4.0
Release Date:2022/02/18