TY - JOUR A1 - Axenie, Cristian A1 - Bauer, Roman A1 - Rodríguez Martínez, María T1 - The Multiple Dimensions of Networks in Cancer: A Perspective JF - Symmetry N2 - 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. UR - https://doi.org/10.3390/sym13091559 KW - mathematical and computational oncology KW - cancer KW - networks KW - mechano-biology KW - machine learning Y1 - 2021 UR - https://doi.org/10.3390/sym13091559 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13053 SN - 2073-8994 VL - 13 IS - 9 PB - MDPI CY - Basel ER -