Editorial

Cancer is a natural phenomenon and consequently is amenable to mathematical and computational description. Clinically driven complex multi-scale cancer models are capable of producing realistic spatio-temporal and patient-specific simulations of commonly-used clinical interventions such as radio-chemotherapy. Clinical data-processing procedures and computer technologies play an important role in this context. Following clinical adaptation and validation within the framework of clinico-genomic trials, models are expected to advance the prospect of individualized treatment optimization, this being the long term goal of the emergent scientific, technological and medical discipline of in silico oncology.