| Abstract | Patient health outcome could be improved with suitable mathematical models that could predict the disease course in individuals and ones that could suggest optimized treatment strategies. This talk will focus on the application of mathematical modeling and simulation to viral diseases, with these goals in mind. Modeling of within-host viral pathogenesis is illustrated with applications to Human Immunodefciency Virus (HIV) and Cytomegalovirus (CMV), which is a signifcant health threat to immunosuppressed patients. Ongoing work and results from application of HIV models to clinical patient data are presented. We then present a model for CMV infection in healthy and immunosuppressed patients and present some results of the application of the model to transplant patient data. |
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