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Updated: Jan 9, 2026

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基于病理学的机器学习模型预测了头部和部状细胞癌患者的干扰素马表达

Jintao Yu1, Wei Teng2, Gang Yu1

  • 1Department of Otolaryngology, The First Hospital of China Medical University, Shenyang, China.

Frontiers in immunology
|December 10, 2025
PubMed
概括

来自组织病理学图像的病理学可以预测头部和部状细胞癌 (HNSCC) 中的干扰素-马 (IFNG) 表达. 这一发现为HNSCC提供了一个新的生物标志物,可能引导个性化治疗.

关键词:
国际货币基金组织 国际货币基金组织生物标志物 生物标志物头部和部状细胞癌瘤机器学习是机器学习.病理学 是一种病理学.

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