NIDDK Central Repository

Yuankai Huo presents a computational workflow for turning whole-slide tissue images into quantitative, spatially resolved pathomics measurements. The session covers scalable feature extraction through spatial indexing, processing within computational regions, and matrix-based computation. It connects tissue morphology and spatial topology with biological and clinical outcomes, then considers generative artificial-intelligence methods for visualizing and interpreting correlated pathomics features. The emphasis is on scalable, explainable analysis for biomedical researchers.