Date of Award

6-2025

Degree Name

MS in Mathematics

Department/Program

Mathematics

College

College of Science and Mathematics

Advisor

Dana Paquin

Advisor Department

Mathematics

Advisor College

College of Science and Mathematics

Abstract

This thesis centers around a model for chronic myelogenous leukemia (CML) as it behaves under imatinib treatment, a common medication for CML patients, and the anti-leukemia immune response. The dynamics are represented with a system of nonlinear delay-differential equations first constructed by Kim et al. in 2008, capturing population changes of T-cells and various CML growth stages. We investigate stability in both the clinical and mathematical sense. Through numerical simulations, we computationally incorporate a supplementary treatment plan to determine its effectiveness in aiding immune response and medication in achieving remission and full elimination. The primary goal is to conduct a stability analysis of the system. We derive two steady states, one for a cancer-free environment and one for CML persistence in the presence of T-cells. Through linearizing the system with Jacobian matrices with respect to non-delayed and delayed state variables, we seek parameter restrictions toward negative eigenvalues (or those with negative real part), and hence asymptotic stability.

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