Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetes

Abstract Type 2 diabetes (T2D) is a chronic disease currently affecting around 500 million people worldwide with often severe health consequences. Yet, histopathological analyses are still inadequate to infer the glycaemic state of a person based on morphological alterations linked to impaired insul...

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Hlavní autoři:	Lukas Klein, Sebastian Ziegler, Felicia Gerst, Yanni Morgenroth, Karol Gotkowski, Eyke Schöniger, Martin Heni, Nicole Kipke, Daniela Friedland, Annika Seiler, Ellen Geibelt, Hajime Yamazaki, Hans-Ulrich Häring, Silvia Wagner, Silvio Nadalin, Alfred Königsrainer, Andre L. Mihaljevic, Daniel Hartmann, Falko Fend, Daniela Aust, Jürgen Weitz, Reiner Jumpertz-von Schwartzenberg, Marius Distler, Klaus Maier-Hein, Andreas L. Birkenfeld, Susanne Ullrich, Paul F. Jäger, Fabian Isensee, Michele Solimena, Robert Wagner
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-02-01
Edice:	Nature Communications
On-line přístup:	https://doi.org/10.1038/s41467-026-69295-2
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