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.
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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.
