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1642-STimage: Spatial Transcriptomics Prediction

The research article introduces STimage, a specialized deep learning framework designed to predict gene expression and cell types directly from standard H&E histological images. By linking tissue morphology with spatial transcriptomics, the platform enables researchers to visualize molecular data without the high costs of traditional sequencing. A key innovation of the system is its focus on robustness and interpretability, utilizing an ensemble approach and foundation models to quantify both data-driven and model-based uncertainty. The authors validated the tool across diverse datasets…

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