Editorial

Diseases are natural phenomena and consequently are amenable to mathematical and computational description. Clinically driven complex multi-scale disease models are capable of producing realistic spatio-temporal and patient-specific simulations of several clinical interventions. Clinical data-processing procedures and computer technologies play an important role in this context. Following clinical adaptation and validation within the framework of clinicogenomic 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 medicine. In silico oncology has proven to be inter alia an excellent didactic, research and clinical paradigm of this new discipline, since cancer is strongly manifested at all scales of biocomplexity.