Graph in Graph (GiG): A novel graph AI framework for integrating and interpreting whole-person healthmedical and omics data
Heming Zhang, Yifei Lu, Kaiwen Fang, ZIXI XU, Vaha Akbary Moghaddam, Ping An, Shiow Jin, Mary K. Wojczynski, Michael A. Province, Fuhai Li
This paper introduces GiG, a graph AI framework that integrates and interprets whole-person medical and omics data to prioritize biomarkers and improve disease diagnosis.
bioRxiv · Jul 24, 2026 · PreprintBioinformatics