Recent advances in pathology foundation models have enabled accurate prediction of spatial transcriptomics (ST) from routine H&E images. However, existing explainability methods for vision transformer (ViT)-based models are largely limited to local heatmaps and do not reveal how morphological concepts contribute to ST...
Amos Muench, J. Thielmann, Reduan Achtibat et al.· 0 citations
Introduction Tumor-reactive T cell receptors (TCRs) are promising candidates for the manufacturing of safe and effective adoptive TCR-T cell therapies, but their efficient identification remains a major challenge. We previously established an antigen-agnostic TCR-repertoire analysis workflow that prioritizes candidate...
V. Seitz, J. Franzen, K. Gennermann et al.· bioRxiv· 0 citations
Positive associations between RSPO3 expression and inflammation suggest that RSPO3 signaling contributes to shaping the immune microenvironment of human intestinal-type GC, a phenotype specific to intestinal-type GC.
Anne-Sophie Fischer, Alexander Arnold, Hilmar Berger et al.· Gastric Cancer· 0 citations
LUCAID is an agentic AI system for precision lung cancer pathology that combines diagnostic reasoning with nine modules that cover the full routine workflow, from quality control, tumor detection and segmentation, histological subtyping, tumor microenvironment profiling, tumor cellularity quantification, and predictive...
M. Eich, K. Standvoss, Timo Milbich et al.· 0 citations
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