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The Center for Computational Oncology is developing computer models and patient-specific analytic tools to predict how cancer will progress in a specific individual, based on their tissue, cellular and subcellular protein signaling responses.

Writing in the Journal of The Royal Society Interface, the researchers showed that they can predict how brain tumors (gliomas) will grow with much greater accuracy than previous models.

To develop and implement their mathematically complex models, the group uses the advanced computing resources at the Texas Advanced Computing Center (TACC).

Recently, the group has begun a clinical study to predict how an individual's cancer will progress after one cycle of therapy, and use that prediction to plan the future course of treatment.


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