In this talk, we describe the development, over several years, of a high-fidelity ‘in-silico’ multicellular EMT6/Ro spheroidal model which aims to offer a better understanding of cancer dynamics under irradiation and to improve therapeutic outcomes. Our earlier works [1,2] have shown that computational cellular automata (CA) models of EMT6/Ro spheroid growth can be successfully calibrated to a broad spectrum of tumour characteristics. The underlying coupled EMT6/Ro tumour growth—multi-irradiation model [3,4], was then further calibrated across 18 independent experimental multi-fraction studies, requiring the direct modelling of DNA damage and repair processes following known biological systems resulting in a high-fidelity computational model of tumour growth under irradiation. Finally, and recently, we have developed an advanced GPU-GA technique to conduct highly parallel search in a vast combinatorial space to identify promising irradiation protocol candidates for further clinical study.
By Richard Bailleul
By Florence Hubert
By Pierre-Emmanuel Jabin
By Markus Schmidtchen
By Camille Pouchol
By Monika Joanna Piotrowska
By Annabelle Collin
By Sébastien Benzekry
By Jose Munoz
By Pasquale Ciarletta
By Olivier Saut
By Anna Marciniak-Czochra
By Aleksandra Ardaseva
By Kevin Painter
By Nadia Loy
By Min Tang
By Christian Schmeiser
By Thierry Goudon
By Ariane Trescases
