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Updated: Apr 12, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
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使用深度学习对从未吸烟者肺癌的基因组特征

Monjoy Saha, Thi-Van-Trinh Tran, Praphulla Ms Bhawsar

    bioRxiv : the preprint server for biology
    |September 2, 2025
    PubMed
    概括

    这项研究引入了一种新的深度学习模型,用于从组织学图像中预测从未吸烟的肺腺癌 (NS-LUAD) 的16个分子变化. 该模型有望在这种独特的肺癌亚型中指导分子测试和精确医学.

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