Computational Oncology
The development of computational models for simulating tumor growth and response to treatment has gained significant momentum during the last few decades. Clinically driven complex multiscale cancer models can produce rather realistic spatio-temporal simulations of concrete clinical interventions such as radio-chemotherapy applied to individual patients.
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 enhance individualized treatment optimization. The latter constitutes the long-term goal of the emergent scientific, technological and medical discipline of computational and in silico oncology.
Treatment optimization is to be achieved through experimentation in silico i.e. on the computer. Moreover, provision of insight into tumor dynamics and the optimization of clinical trial design and interpretation constitute short- and mid-term goals of this new domain. Experienced researchers in the area of computational and in silico oncology have been invited to present their accumulated experience in the Summer School.
The Summer School will provide an excellent opportunity for interested individuals to acquire both basic knowledge and be informed on the currents trends of this highly active multidisciplinary field.
