Author

N. Kiermeyer

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Preprint Oct 2026

Pathology foundation models for training-free case retrieval in salivary gland tumors

This approach makes departmental archives searchable with pathology foundation models, providing a low-barrier route to case-based differential diagnosis and extending the individual frame of reference to the collective experience of the department.

Maximilian J. Roesel, N. Kiermeyer, Philipp Keyl et al. · 0 citations

Open access Jul 2026

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems

Chronicle is introduced, an explainable transformer that learns from entire patient trajectories, predicts diverse clinical outcomes throughout the disease course while capturing both short- and long-term temporal dependencies, providing a scalable framework to support individualized treatment decisions.

P. Keyl, N. Kiermeyer, J. Bosserhoff et al. · medRxiv · 0 citations