  This paper deals with the estimation of regions of attraction (RoAs) under
parametric uncertainties for a cancer growth model with combined therapies. We
propose a framework of probabilistic certification, based on the randomized
methods, in order to derive probabilistically certified RoAs of a cancer growth
model. The model that we consider in this paper describes the interaction
between tumor and immune system in presence of a combined chemo- and
immunotherapy. Furthermore, we model the concentration of the chemotherapy
agent in the body via a pharmacokinetic equation.
