Multi-Tensor Decompositions for Personalized Pediatric Glioma Diagnostics and Prognostics

The diagnosis, treatment, and ongoing assessment of pediatric gliomas requires researchers to have access to comprehensive information regarding the genome of such cancers. Researchers will apply recently developed algorithms, used by computers to analyze data, to information from the Pediatric Brain Tumor Atlas. Previous studies have been proven successful in the analysis of adult astrocytomas, identifying genetic signatures that predict patient survival and response to chemotherapy and radiation. Using data across various tumor types in conjunction with patient-data, researchers hope to create personalized, effective, and robust tests for diagnosis and ongoing assessment of treatments in pediatric brain cancers.