From Average to Individual: Transforming Cancer Care With Single-Subject Clinical Trials
Read about the Center for Computational Oncology's work with the MD Anderson Cancer Center to design clinical trials for patients who are not average.
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Read about the Center for Computational Oncology's work with the MD Anderson Cancer Center to design clinical trials for patients who are not average.
Published in the journal Frontiers in Artificial Intelligence, Oden Institute researchers show how methods developed for digital twins in aerospace engineering can be used for high-grade glioma patients undergoing radiotherapy.
Date Time New Technique Predicts Response of Brain Tumors to Chemoradiation AUSTIN, Texas – A team studying malignant brain tumors has developed a new technique for predicting how individual patients will respond to chemoradiation, a major step forward in efforts to personalize cancer treatment. Researchers at The University of Texas at Austin’s Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center (TACC) and The University of Texas MD Anderson Cancer Center have merged various quantitative imaging measurements with computational simulations to create ...