Date of Submission

Spring 2018

Academic Programs and Concentrations


Project Advisor 1

Professor Michael Tibbetts

Project Advisor 2

Professor Keri-Ann Norton

Abstract/Artist's Statement

Mathematical models are finding increased use in biology, and partuculary in the field of cancer research. In relation to cancer, systems of differential equations have been proven to model tumor growth for many types of cancer while taking into account one or many features of tumor growth. One feature of tumor growth that models must take into account is that tumors do not grow exponentially. One model that embodies this feature is the Gomperts Model of Cell Growth. By fitting this model to long-term breast cancer study data, this project ascertains gompertzian parameters that can be used to predicts tumor growth as a function of time.

Open Access Agreement

Open Access

Creative Commons License

Creative Commons License
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