Transforming Pediatric Life Sciences Research with AI and Data Science
This presentation will feature Dr. Peter White, Chief Data Sciences Officer at The Abigail Wexner Research Institute at Nationwide Children’s Hospital.
About
Peter White, PhD is the Battelle Chair of Quantitative and Computational Biology at Nationwide Children’s Hospital and a Professor in the Department of Pediatrics at Ohio State.
The Biostatistics seminar series invites researchers from across the nation to discuss methodological research and its implications for a variety of health issues.
Abstract
Biomedical research is entering a transformative era powered by artificial intelligence (AI) and machine learning (ML). At the Abigail Wexner Research Institute, the Office of Data Sciences (ODS) integrates advanced AI with secure, AWS-native infrastructure to accelerate discovery and improve care across pediatrics. Anchored by our CAP/CLIA–validated Varhouse genomic data warehouse and the AVA interpretation workflow, ODS enables researchers and clinicians to unify large-scale datasets—from genomics to the electronic health record—and move rapidly from data to insight. First, GENiUS, our AI-enabled genomic medicine platform, analyzes clinical signals to prioritize neonates for rapid genome sequencing and automates continual re-analysis as new knowledge emerges, leveraging our CAVaLRi ML algorithm to surface likely diagnostic variants and recover findings in previously non-diagnostic cases. Second, DREAM applies large language models to streamline high-quality behavioral health research, improving cohort assembly, analytic reproducibility, and time-to-result through human-in-the-loop workflows. Together with robust governance (HIPAA/NIST) and translational pipelines that integrate insights back to care, these capabilities shorten time to diagnosis, scale complex analyses, and advance equitable, data-driven pediatric medicine.
Contact
Andy Ni