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Massimiliano Volpe

Linköping Universitet

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Open access Sep 2026

STAT3D as a new image-tailored Xenium-based spatial transcriptomics tool for accurately dissecting the tumor microenvironment

Abstract Spatial transcriptomics enables researchers to study gene expression within tumor microenvironments at single-cell resolution while preserving tissue architecture. However, analyzing spatial omics data is challenging due to the complexity of the outputs, including large-scale images, millions of transcripts, a...

Kristi Ajazi, Massimiliano Volpe, Johannes Roylands et al. · 0 citations
Open access Jul 2026

Blood-Based DNA Methylation Models Improve Short-term Cardiovascular Risk Stratification in Individuals With Type 2 Diabetes

The DNAm-based models generated may improve risk stratification for short-term cardiovascular events in individuals with T2DM, providing a promising approach to refine identification of those at increased risk of MACE.

M. Longo, Antonella Desiderio, M. Masulli et al. · 0 citations

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