Open AccessT model of growth and its application in systems of tumor-immunedynamics
Author(s) -
Mohammad Tabatabai,
Wayne M. Eby,
Karan P. Singh,
Sejong Bae
Publication year - 2013
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2013.10.925
Subject(s) - growth model , flexibility (engineering) , growth rate , set (abstract data type) , computer science , mathematics , biological system , biology , statistics , mathematical economics , geometry , programming language
In this paper we introduce a new growth model called T growth model. This model is capable of representing sigmoidal growth as well as biphasic growth. This dual capability is achieved without introducing additional parameters. The T model is useful in modeling cellular proliferation or regression of cancer cells, stem cells, bacterial growth and drug dose-response relationships. We recommend usage of the T growth model for the growth of tumors as part of any system of differential equations. Use of this model within a system will allow more flexibility in representing the natural rate of tumor growth. For illustration, we examine some systems of tumor-immune interaction in which the T growth rate is applied. We also apply the model to a set of tumor growth data.