Use of Differential Equations for Modelling Cancer Cell Growth

Abstract

The research work presents a study on the effectiveness of the use of differential equations in modelling cancer growth. The research determines that there exist numerous differential equations that models growth and progression of differential equations, but they often omit essential progression parameters associated with the disease’s prognosis. The research work concludes that if efficient differential equation modelling of cancer growth is to be performed inclusion of essential parameters such as cell interactive effects and therapeutic effects should be included in the model along with its cross validation through real world cancer growth data.