Shrey Sukhadia

XpressO-Lung predicts spatial gene expression patterns in lung adenocarcinoma using histopathology images, validated against immunohistochemistry, showing strong concordance with known morphologic features.

X-SPATIO predicts and visualizes spatially resolved biomarker expression in TNBC by linking H&E morphology with spatial transcriptomic and proteomic data.

XpressO-Melanoma predicts BRAF V600E mutation status from whole-slide images using deep learning, achieving 0.79 AUC and correctly identifying 7/8 mutant cases.

This study uses clinicopathological data and AI models to predict distant recurrences in invasive breast carcinoma patients, showing cross-institutional validity with AUC 0.75-1.0.

ImaGene is a web-based platform for radiogenomic analysis that correlates tumor imaging and omics data, identifies gene-imaging feature associations, and generates diagnostic reports.