From Breast Cancer to Computational Science

  • Catalina Cocan

Abstract

Computational science focuses on the development of predictive computer models of the world around us.
Scientific computing methods have become more accurate in the discovering of tumor treatment
possibilities, than laboratory experiments have ever proven. This thesis will provide the mathematical
modeling of breast tumor growth, including different aspects of how the immune system together
with cycle-phase-specific chemotherapy can defeat the disease. The delay differential equations
representing the tumor environment are solved using the Runge Kutta fourth method, taking in
consideration different phases of the cell-cycle.

Published
2019-01-04
How to Cite
Cocan, C. (2019). From Breast Cancer to Computational Science. UCPH NanoScience - a Student Research Journal, 2. Retrieved from https://tidsskrift.dk/nanovidenskabKU/article/view/111787
Section
Papers