Interpretable spatial cell learning enhances the characterization of patient tissue microenvironments with highly

Peng Lu1,2, Karolyn A Oetjen3, Stephen T Oh3,4,5

  • 1Department of Biomedical Engineering, Washington University in St. Louis, MO, 63130, USA.

Summary

InterSTELLAR, a geometric deep learning framework, links cell communities in multiplexed imaging data to clinical outcomes. This approach enhances understanding of disease-specific microenvironments and patient prognosis in breast cancer.

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