@inproceedings{eprints3773,
            year = {2013},
           title = {Combining pharmacological therapy and vaccination in Chronic Myeloid Leukemia via model predictive control},
       booktitle = {35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
           pages = {3925--3928},
          author = {Marco Laurino and Maurizio Stano and Monica Betta and Gabriele Pannocchia and Alberto Landi},
       publisher = {IEEE},
             url = {http://eprints.imtlucca.it/3773/},
        abstract = {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.}
}