Chrystal M. Chadwick

Prostate-TriMod integrates visual morphology, spatial tissue maps, and clinical outcomes for prostate cancer to enable multimodal AI research.

This paper introduces PhenoMol, a framework that integrates multiomic and multi-phenotypic data to identify biological pathways linked to physical fitness, outperforming traditional regression models.

The paper develops TOPAZ, a tool that predicts cancerous cells/glands and analyzes immune cell spatial relationships in prostate cancer, finding that immune cell distance from cancer glands correlates with recurrence risk.

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

The paper shows that ultrasound neuromodulation of the spleen reduces experimental pulmonary hypertension by improving hemodynamics and reducing inflammation.