Bio-algorithms for the modeling and simulation of cancer cells and the immune response

Abstract There have been significant developments in clinical, experimental, and theoretical approaches to understand the biomechanics of tumor cells immune cells. Cytotoxic T lymphocytes (CTLs) are regarded as a major antitumor mechanism Mathematical modeling growth is an important useful tool observe clinical phenomena analytically. This work develops novel two-variable mathematical model describe interaction CTLs. The designed providing integrated framework investigate complexity progression answer questions that cannot always be reached with experimental tools. parameters estimated from study stability analysis performed through nullclines. A global sensitivity also check uncertainty parameters. results numerical simulations support importance CTLs demonstrate can eliminate small tumors. proposed provides efficacious information complex dynamics breast cancer.