%X This paper describes a simulation study which aims at optimizing the therapy for the control of Chronic Myeloid Leukemia according to the following objectives: the reduction of the administered drug and vaccine amounts, the establishment of a auto-immune response and the long-term control of disease without reducing the effective of therapy with respect to the full treatment. A therapy optimization method is developed defining and solving a Model Predictive Control algorithm, preceded by an accurate Initial Guess search based on Monte-Carlo like approach. Simulation results show that the suggested procedure achieves the proposed goals.
%D 2013
%L eprints3773
%A Marco Laurino
%A Maurizio Stano
%A Monica Betta
%A Gabriele Pannocchia
%A Alberto Landi
%R doi:10.1109/EMBC.2013.6610403
%C Osaka, Japan
%B 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
%P 3925-3928
%T Combining pharmacological therapy and vaccination in Chronic Myeloid Leukemia via model predictive control
%I IEEE