The Center for Computational Modeling of Cancer bridges researchers from various disciplines with clinicians and patients. This includes engineers, computer scientists, mathematicians, physicists, and cancer biologists.
Together, we build computational models of cancer that help improve patient outcomes.
The University of Southern California has a strong commitment to collaborative research and state-of-the-art resources. This environment allows the CCMC to thrive at USC. By partnering with the Michelson Center for Convergent Bioscience and the Ellison Institute for Transformative Medicine, the CCMC is part of a research community that tackles clinically-focused research questions.
The CCMC contributes to this vibrant research environment by emphasizing the application of computational modeling and analysis in cancer.
HISTORY OF COMPUTATIONAL MODELING
There is a substantial and productive history of applying computational modeling to study cancer, from initiation through metastasis. Excitingly, predictions from computational modeling provide testable hypotheses that have been clinically validated. For example, foundational work by Norton and Simon in 1977 predicted that shortening the intervals between successive chemotherapeutic doses (a “dose-dense” regimen) reduces tumor volume more effectively than the standard regimen of 3-week intervals. This prediction was validated in a clinical trial and has since guided the administration of chemotherapy for certain tumors.
This is just one example, out of many, showing that computational modeling can provide unexpected biological insight and predict effective treatment strategies.
We aim to engage researchers across USC and beyond. Contact us to find out more!