University of Texas at Austin
Center for Computational Oncology

Center for Computational Oncology

The vision for the Center for Computational Oncology (CCO) is to develop biophysical models of tumor initiation, growth, invasion, and metastasis to establish a sound theoretical framework 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.

Website

http://cco.oden.utexas.edu/

Directors

Tom Yankeelov
Tom Yankeelov
Imaging Computational Medicine

Faculty and Research Staff

George Biros
George Biros
Imaging Computational Mechanics High-Performance Computing
J. Tinsley Oden
J. Tinsley Oden
Uncertainty Quantification Computational Medicine
M. Nichole Rylander
M. Nichole Rylander
Computational Medicine

Postdocs

Students

Staff

Members outside the Oden Institute

Amy Brock, Chase Christenson, Tessa Davis, Carolina De Santiago, Yusheng Feng, David Fuentes, Andrea Gardner, Tyler Jost, Shelli Kesler, Junyan Liu, John Sansalone, Kalina Slavkova, Danielle Stolley, Jianchen Yang

The center takes a unique approach to tumor model construction through its application of model inputs constrained by experiments and/or metrics tailored to each individual patient. Constructing individualized, patient-centric models offers several key advantages over conventional, population-derived metrics. Models naturally incorporate patient-to-patient heterogeneity – an approach that enables quantitative, testable predictions of tumor progression on each individual tumor and patient, allowing the model to be refined and/or verified.