Cancer is a natural phenomenon and as such it should be amenable to mathematical and computational description.

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 in silico oncology.

Treatment optimization is to be achieved through experimentation in silico i.e. on the computer. Moreover, provision of insight into tumour dynamics and optimization of clinical trial design and interpretation constitute short- and mid-term goals of this new domain. Researchers working either in the area of in silico oncology or in the broader cancer research domain yet with an interest in computational oncology are invited to submit short papers.

The workshop is meant to be an excellent opportunity for both shaping and advancing the discipline.

Organizing Committee

G. Stamatakos, PhD, ICCS - National Technical University of Athens (GR), General Chair

K. Marias, PhD, Foundation for Research and Technology – Hellas (GR)

D. Dionysiou, PhD, ICCS - National Technical University of Athens (GR)

Ν. Graf, MD, University Clinic of Saarland (DE)

I. Kurnaz, PhD, Yeditepe University (TR)

T. Deisboeck, MD, Harvard Medical School (US)

M. Akay, PhD, University of Houston (US)

N. Uzunoglu, PhD, ICCS - National Technical University of Athens (GR)