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Biologists have uncovered some of the most basic mechanisms by which normal cells develop into cancerous tumors. These biological theories can be transformed into adequate mathematical models. For this reason, we attempt to study the evolution of cancer cells using the Markov Chain Processes. Based on Markov chain Processes, cancer chemotherapy will be applied on them to treat the disease. However,...
Cancer chemotherapy is a complicated treatment that needs balancing the cell killing with the undesirable toxic side-effects caused by the drugs. Several computational methods have been used in finding the right balance. This paper presents a model-based method to design optimum chemotherapy treatment schedule by using multiple objective particle swarm optimization (MOPSO) algorithm. Three dose plans...
The most effective cancer treatments are the ones that prolong patients' lives while offering a reasonable quality of life during and after treatment. The treatments must also carry out their actions rapidly and with high efficiency such that a very large percentage of tumor cells die or shift into a state where they stop proliferating. Due to biological and micro-environmental variabilities within...
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