همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Inhibition of angiogenesis based on the dynamic model of tumor growth using adaptive control method

نویسندگان :

Mehdi Ghasemi¹ Adel Akbarimajd² Solmaz Kia³

1- دانشگاه محقق اردبیلی 2- دانشگاه محقق اردبیلی 3- دانشگاه محقق اردبیلی

کلمات کلیدی :

Dynamic system of cancer،Targeted therapy،Mathematical model of tumor،Adaptive control،Optimal medication

چکیده :

The primary objective of high-dose chemotherapy is to eradicate rapidly proliferating cancer cells. While conventional chemotherapy offers numerous benefits, it is often associated with significant adverse effects. Metronomic chemotherapy represents a novel approach that employs continuous and low-dose administration of chemotherapeutic agents for cancer treatment(Basar et al., 2024). This approach specifically targets endothelial cells active in new tumor blood vessels, which play a crucial role in tumor nutrition and growth(Lien et al., 2013). Mathematical and computational modeling, as a powerful tool, has revolutionized our understanding and treatment of diseases, especially cancer. By accurately simulating tumor growth and utilizing engineering principles, researchers seek to find the most effective treatment strategies. Biomedical control engineering, leveraging advanced mathematical models, offers an innovative approach to optimizing cancer treatment processes. By precisely designing treatment protocols and intelligently adjusting chemotherapy drug dosages, this approach significantly improves treatment outcomes and reduces side effects. Using this method, physicians will be able to design personalized treatments for each patient, tailored to the unique characteristics of the tumor and the patient's body(Kuznetsov, Clairambault and Volpert, 2021). This leads to increased treatment efficacy and reduced risk of drug resistance. Additionally, by optimizing drug dosage, it is possible to mitigate severe side effects associated with chemotherapy and significantly improve patients' quality of life. In this Article, a model reference adaptive controller is proposed to determine the optimal dosage of chemotherapy drugs. The controller is based on the well-established Hanfeld mathematical model, which describes the complex interaction between endothelial and tumor cells as a two-dimensional nonlinear dynamical system. This study proposes an efficient method to control tumor growth and reduce the volume of endothelial cells by optimizing drug consumption. Ultimately, the goal is to control tumor growth and increase the effectiveness of treatment. By applying the approach presented in this research, a significant decrease in drug consumption and a significant decrease in the volume of endothelial cells and tumors were observed. Simulation results indicate that within a relatively short period of 84 days, the system's variables decreased to below 1 mm3 and eventually reached a negligible value of 0.007 mm3.