2020/04/21 by SeyedMehdi Abtahi, Abtahi, SeyedMehdi, Mojtaba Sharifi +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #Gene Regulatory Network Analysis #Quantitative Methods (q-bio.QM) #Receptor Mechanisms and Signaling #Tissues and Organs (q-bio.TO)
paper · pdf · doi:10.48550/arxiv.2004.09753
openalex publication_date 2020/04/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Cancer is one of the most common diseases worldwide, posing a serious threat\nto human health and leading to the deaths of a large number of people. It was\nobserved during the drug administration in chemotherapy that immune cells,\ncancer cells and normal cells are killed or at least seriously injured and also\nin order to keep dosage of the drug at specific level in body, drug should be\ndelivered in specific time and dosage. Therefore, to address these problems, a\ndecision-making process is needed to identify the most appropriate treatment\nfor cancer cases which causes killing of cancer cells by considering the number\nof healthy cells that would be killed. Despite the latest technological\ndevelopments, the current methods need to be improved to suggest the most\noptimized a dose of the drug for tumor cells discretely. It is expected that\nour proposed ANFIS model be able to suggest the specialists the most optimum\ndose of the drug, which considers all key factors including cancer cells,\nimmune and health cells. The results of the simulations exhibit the high\naccuracy of the proposed intelligent controller during the treatment in\npredicting the behavior of all key factors and minimize the usage dose of the\ndrug with regard this significant point that the proposed controller gives\ndiscrete data for treatment which can fill the gap between engineering and\nmedical science.\n