Advancing Pediatric Brain Tumor Diagnosis and Treatment through Deep Learning

The implementation of functional precision medicine, which combines genomic profiling with drug sensitivity testing of patient’s tumor cells, has potential to identify personalized and effective treatment options. This project aims to build treatment-response models based on available molecular profiles and patient-matched drug-response data obtained from pediatric brain tumor patients at Rady Children’s Hospital San Diego and at other cancer centers. The goal is to predict novel drug and biomarker pairs to enable better treatment decisions.