Modeling different strategies towards control of lung cancer: leveraging early detection and anti-cancer cell measures.

The global population has encountered significant challenges throughout history due to infectious diseases. To comprehensively study these dynamics, a novel deterministic mathematical model, TCD Z, is developed for the early detection and treatment of lung cancer. This model incorporates cytokine and anti-PD-L1 inhibitors, enhancing the immune system's anticancer response within five epidemiological compartments.

Fractional order cancer model infection in human with CD8+ T cells and anti-PD-L1 therapy: simulations and control strategy.

In order to comprehend the dynamics of disease propagation within a society, mathematical formulations are essential. The purpose of this work is to investigate the diagnosis and treatment of lung cancer in persons with weakened immune systems by introducing cytokines ( ) and anti-PD-L1 inhibitors. To find the stable position of a recently built system TCD Z, a qualitative and quantitative analysis are taken under sensitive parameters.

Mathematical modeling and control of lung cancer with IL2 cytokine and anti-PD-L1 inhibitor effects for low immune individuals.

Mathematical formulations are crucial in understanding the dynamics of disease spread within a community. The aim of this work is to examine that the Lung Cancer detection and treatment by introducing IL2 and anti-PD-L1 inhibitor for low immune individuals. Mathematical model is developed with the created hypothesis to increase immune system by antibody cell's and Fractal-Fractional operator (FFO) is used to turn the model into a fractional order model.