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Computational Science Battelle Institute National Science Foundation
W.M. Keck Foundation

 

 

 

Summer 2002 Modules for KUCSEC

L.G. de Pillis and A.E. Radunskaya

 

Modeling Tumor-Immune Interactions Mathematics

Lesette de Pillis
Harvey Mudd College
depillis@hmc.edu
Amy Radunskaya
Pomona College
Ami_Radunskaya@pomona.edu

Nonlinear Ordinary Differential Equations, Bifurcation Analysis Numerics: Various ODE solvers, explicit, implicit, non-stiff, stiff Time-line: Week 1: Model development and qualitative analysis Week 2: Numerical issues in solving ODE, introduction of explicit, implicit, stiff solvers Week 3: Bifurcation analysis, numerical continuation In this module we introduce the Tumor-Immune system interaction equations developed by Kuznetsov(1994). This model is of particular interest because the mathematics are straightforward, yet the dynamics of the system are quite rich. We will begin by developing each component of the differential equations from biological principals. We will then take the students through an elementary qualitative analysis of the system, finding critical points and stabilities. The computational component will then be introduced, and this will allow us to familiarize the students with simple explicit, implicit and specialized stiff numerical ODE solvers. The students will learn about the benefits and drawbacks of each category of solver, and will be guided through a basic stability analysis of each solver. Once we start running numerical experiments, we will have the students experiment with parameter changes, and discover the impacts on the dynamics of the system. The system we will be working with has several bifurcation points, equilibria appear and disappear and stability properties change. We will examine the numerical problems encountered in the analysis of these bifurcations by investigating methods of numerical continuation. Continuation is also important in the numerical detection of unstable equilibria and separatrices. We will then guide the students through a discussion of the biological interpretation of these parameter changes. For example, this model allows for an explanation of tumor dormancy, a phenomenon which is still not fully understood biologically.


Bifurcation
Bifurcation Slides
EqnDev
EqunDev Slides
Exercises
Immunebackground
intro
intro slides
matlabscripts
module1numerics
module1numerics slides
nondimensionalization
nondimensionalization slides
overview
parameter_estimation
parameter_estimation slides
projects
qualanalys
qualanalys slides
wrapup
wrapup slides

 

 


For more information, please contact
Ignatios Vakalis (614-236-6587) Principle Investigator
Andrea Karkowski (614-236-6449) Co-PI
Terry Lahm (614-236-6800) Co-PI
Margie Gilbert (614-236-6714) Grant Administrator

       

 

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