Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-92841-6_329
Title: Multi-objective Optimization of Cancer Immuno-Chemotherapy
Authors: Kiran, K.L.
Jayachandran, D.
Lakshminarayanan, S. 
Keywords: Cancer
Chemotherapy
Immunotherapy
Mathematical model
Optimization
Issue Date: 2009
Source: Kiran, K.L.,Jayachandran, D.,Lakshminarayanan, S. (2009). Multi-objective Optimization of Cancer Immuno-Chemotherapy. IFMBE Proceedings 23 : 1337-1340. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-92841-6_329
Abstract: Relentless research efforts in the recent past have led to the discovery of various cancer treatment modalities. However, there is no specific or absolute therapy for cancer treatment. As a result, doctors/researchers are proposing and employing unprecedented and promising strategies that synergistically combine different therapies to cure cancer. The timing and dosage levels at which the different therapies need to be administered for optimally treating cancer remains not only an interesting research problem but also one that is clinically relevant. In this work, we use a mathematical model comprising of ordinary differential equations to study how immunotherapy and chemotherapy can be optimally employed in cancer treatment. The model elucidates the dynamics of tumor cells, immune cells and therapeutic agents. Our aim is to minimize the tumor size via the optimum application of therapeutic agents. To this end, we use a multi-objective optimization strategy to design an immuno-chemotherapy plan that treats the cancer using minimum therapeutic intervention. We will also compare the best possible single therapy results with the best possible combination therapy protocol.
Source Title: IFMBE Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/90635
ISBN: 9783540928409
ISSN: 16800737
DOI: 10.1007/978-3-540-92841-6_329
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