Eleni Kolokotroni, Daniel Abler, Alokendra Ghosh, Eleftheria Tzamali, James Grogan, Eleni Georgiadi, Philippe Büchler, Ravi Radhakrishnan, Helen Byrne, Vangelis Sakkalis, Katerina Nikiforaki, Ioannis Karatzanis, Nigel J B McFarlane, Djibril Kaba, Feng Dong, Rainer M Bohle, Eckart Meese, Norbert Graf, Georgios Stamatakos
The massive amount of human biological, imaging, and clinical data produced by multiple and diverse sources necessitates integrative modeling approaches able to summarize all this information into answers to specific clinical questions. In this paper, we present a hypermodeling scheme able to combine models of diverse cancer aspects regardless of their underlying method or scale. Describing tissue-scale cancer cell proliferation, biomechanical tumor growth, nutrient transport, genomic-scale aberrant cancer cell metabolism, and cell-signaling pathways that regulate the cellular response to therapy, the hypermodel integrates mutation, miRNA expression, imaging, and clinical data...
April 29, 2024: Journal of Personalized Medicine