Center for Computational Oncology
The Center for Computational Oncology develops biophysical models of tumor initiation, growth, invasion and metastasis to establish a sound theoretical framework for describing the hallmarks of cancer and to use this knowledge to discover fundamental cancer biology and develop tumor-forecasting methods to optimize treatment and outcomes for the individual patient.
Types of Research
As our knowledge of cancer grows, there is a desperate need to make real connections between those designing clinical trials and those studying mathematical models of tumor growth and treatment response so that the field of theoretical oncology can provide systematic, testable predictions of the response of individual patients to individual therapeutic regimens.
The long-term goal of the Center for Computational Oncology is to build a testable, mathematical theory of cancer. Cancer biologists could use such a theory to discover new biology, while oncologists could systematically select the most promising treatment for an individual patient.
The Center for Computational Oncology is housed within the Oden Institute for Computational Engineering and Sciences.
Contact Our Director
The Center for Computational Oncology is directed by Thomas Yankeelov, a distinguished senior cancer researcher in computational biology, advanced imaging and mathematical modeling. He is a professor of biomedical engineering in the Cockrell School of Engineering and of diagnostic medicine in the Dell Medical School. He holds the W.A. “Tex” Moncrief Jr., Simulation-Based Engineering and Sciences Professorship II in Computational Oncology.
