TY  - INPR
N2  - 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.
SP  - 3925
PB  - IEEE
SN  - 1558-4615
M2  - Osaka, Japan
A1  - Laurino, Marco
A1  - Stano, Maurizio
A1  - Betta, Monica
A1  - Pannocchia, Gabriele
A1  - Landi, Alberto
UR  - http://doi.org/10.1109/EMBC.2013.6610403
Y1  - 2013///
TI  - Combining pharmacological therapy and vaccination in Chronic Myeloid Leukemia via model predictive control
AV  - none
T2  - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
EP  - 3928
ID  - eprints3773
ER  -