جستجوی مقالات مرتبط با کلیدواژه « immunotherapy » در نشریات گروه « مکانیک »

Due to the side effects and drug resistance, it is impossible to impose a long term treatment. Therefore, it is desirable to provide a method for the treatment of cancer in a limited time. So, mixed chemo-immunotherapy treatment has been presented, and the mathematical model has been extended based on this new treatment protocol. The immunotherapy modifies the dynamics of the system, and the chemotherapy guides the trajectory of the system toward the preferred equilibrium point. For identifying the effective parameters on the modification of the system dynamics, the stability and the bifurcation of the system have been studied. Since the patient’s age is effective in providing treatment, a fuzzy system, based on physiological considerations, has been used to adjust the maximum dose for a young patient more than a child one and for a child patient more than an old. The simulations on three different age patients, 8, 22, and 60 years old, indicates the necessity of the provided treatment. The treatment duration in the old and child patients is shorter than the young one due to the stronger immune system assumption that shows the importance of the immunotherapy besides the chemotherapy.

The Aids-related non-Hodgkin’s lymphomas are the second most frequent cancer. A proposed treatment strategy should be implemented as short as possible. A long time treatment protocol not only devitalizes the immune system but also cause to drug resistance. It is observed in many cases that the immune system is able to diminish the tumor cells without any external treatment. Based on these, an extended model for cancer during the treatment has been proposed. A mixed chemo-immunotherapy proposed which the chemotherapy limits the tumor cell growth and the immunotherapy modifies the dynamics of the system. Hence, the equilibrium points of the system, their stabilities and the bifurcation of the system investigated. In order to obtain an optimal dose and considering the conditions of a patient the SDRE method combined with a fuzzy system. The simulation results show an efficient treatment should not only reduce the population of cancer cells but also must modify the dynamics of the system.