AI-assisted histomorphological stratification of endometrial cancer: real-world validation of foundation models for molecular subtyping

Abstract Endometrial cancer (EC) is classified into four molecular subtypes with distinct prognosis and treatment implications. Despite this well-established molecular classification, morpho-molecular correlations remain understudied. Artificial intelligence (AI) enables biomarker prediction from H&...

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Dettagli Bibliografici

Autori principali:	Laura Schwarzmann, Robert Stöhr, Julius Emons, Patrik Pöschke, Katharina Seitz, Matthias Rübner, Matthias W. Beckmann, Mareike Britt Diederich, Irina Unser, Arndt Hartmann, Christian Matek, Ramona Erber
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-06-01
Serie:	npj Precision Oncology
Accesso online:	https://doi.org/10.1038/s41698-026-01522-x
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