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Updated: Jun 9, 2026

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利用大型语言模型提取尤文肉瘤的预后病理特征

Jingwei Huang, Ayesha Batool, Zifan Gu

    bioRxiv : the preprint server for biology
    |February 27, 2026
    PubMed
    概括

    大型语言模型 (LLM) 准确地从Ewing瘤病理报告中提取了预后组织学特征. 神经元特异性内酶 (NSE) 表示更高的风险,而S100则表明更好的生存率,特别是在局部疾病中.

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