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Updated: Feb 6, 2026

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
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Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Published on: October 10, 2025

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在从未吸烟者中使用深度学习对肺癌的基因组表征

Monjoy Saha1, Thi-Van-Trinh Tran1, Praphulla M S Bhawsar1

  • 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, USA.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
|February 4, 2026
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者肺腺癌 (NS-LUAD) 的遗传特征. 该模型准确地识别了11种分子变化,有助于为这种独特的肺癌子组提供个性化的治疗.

关键词:
肺癌是一种肺癌.人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.驱动基因 驱动基因 驱动基因肺部腺癌瘤是什么?突变的签名突变的签名从来没有吸烟者吸烟者整个幻灯片图像的图像.

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