Providing Data-Driven Support in Translational Science
The Clinical & Translational Data Science Unit (CTDSU) leverages clinical, real-world, and high-dimensional molecular data generated by the Children’s Brain Tumor Network (CBTN) to drive data-driven decision-making as part of precision medicine molecular tumor boards for childhood brain cancers. CTDSU works directly with physicians participating in the Pacific Pediatric Neuro-Oncology Consortium (PNOC), the National Cancer Institute’s (NCI) Childhood Cancer Data Initiative, and CHOP’s Frontier precision medicine initiative to support evidence-based therapy recommendations. CTDSU is composed of translational data scientists and biostatisticians who develop clinicogenomic workflows and analytical methods to support clinical decision making.
- Development of quantitative precision medicine algorithms for predicting the likelihood of therapy response in pediatric brain tumors
- Development of clinicogenomic workflows for near real-time patient data integration
- Integration of molecular findings within an interoperable, FHIR-based framework
- Design of synthetic control arms and development of patient similarity analysis algorithms from real-world data
- Development of a translational research toolkit to power biomarker identification and novel disease subtyping from multi-modal data