Mathematical and computational models are designed to improve our understanding of
biological phenomena, to confirm/reject hypotheses, and to find points of intervention by …

Novel drugs and treatment methods are introduced for the management of cancer at a very
fast pace. Given the complexity and heterogeneity of the disease, decision making regarding …

Recent advancements in cybergenetics have led to the development of new computational
and experimental platforms that enable us to robustly steer cellular dynamics by applying …

We consider a mathematical model in the form of a system of ordinary differential equations
(ODE) for optimally administrating cancer treatments. The ODE system dynamics …

Linear-In-Flux-Expressions (briefly LIFE) methodology models metabolism by using
correlations among fluxes of metabolic networks and reducing the number of model …

A mathematical model for the scheduling of angiogenic inhibitors that includes a
pharmacokinetic equation is considered as an optimal control problem. When dosage and …

Abstract Background and Objective In most of the cancer therapeutic models separate
equations for consumption of drugs are used, we however use parameters m and s to see …

We develop a hybrid cellular automata model to describe the effect of the immune system
and chemokines on a growing tumor. The hybrid cellular automata model consists of partial …

Ahmad et al.[Alex. Eng. J.(2022) 61, 5735-5752.] presented a piecewise Lagrange
interpolation method for solving tumor-immune interaction model with fractal fractional …

Therapeutic vaccines are being developed as a promising new approach to treatment for
cancer patients. There are still many unanswered questions about which kind of therapeutic …