[Predicting marker genes and postoperative outcomes in nasal polyps using an artificial intelligence model based on

K H Wang1, Y Ren2, L Ma3

  • 1Department of Otolaryngology, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.

Summary

HE2Signature accurately predicts inflammatory gene expression and postoperative outcomes in chronic rhinosinusitis with nasal polyps (CRSwNP) using whole slide images. This method offers a precise, scalable approach to personalized medicine without molecular assays.

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