Sensitivity analysis and simulation: Cells growth rate with mathematical modeling

Using the NETCR (normal-exposed-tumor-cancer-recovered) model, the present work is done to create a dynamic cancer model that shows how cancer progresses from normal cells to cancerous cells. By analyzing the dynamics of the disease and utilizing Python software to determine numerical simulation of cancer cells. The growth rates of normal, exposed, tumor and cancer cells are equivalent to the natural death rate of cells against concentrations of cells are depicted in various graphs. The rates at which cells divide are represented by the growth rates of normal, exposed, tumor, and cancer cells. Furthermore, sensitivity study is performed for various parameters and identified the optimal control strategies by utilizing nanotechnology approaches.