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PRIME: an interpretable artificial intelligence model based on liquid biopsy improves prediction of progression risk in non-small cell lung cancer
RESEARCH | 更新时间：2026-06-10
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    • PRIME: an interpretable artificial intelligence model based on liquid biopsy improves prediction of progression risk in non-small cell lung cancer

    • PRIME: an interpretable artificial intelligence model based on liquid biopsy improves prediction of progression risk in non-small cell lung cancer

    • “研究人员开发了PRIME，这是一种可解释的AI模型，整合了ctDNA MRD、突变和临床特征，用于预测早期NSCLC的治疗失败风险。神经网络在训练和验证集中实现了0.85和0.82的AUC，优于单一生物标志物，并能够做出个性化的辅助治疗决策。”
    • Yu Wang ，Yong-Bo Xiang ，Xiao-Wei Chen ，Tao Zhang ，Jian-Yang Wang ，Wen-Yang Liu ，Lei Deng ，Lu-Hua Wang ，Shu-Geng Gao ，Nan Bi
    • Military Medical Research 2026年13卷第5期 页码：747-765

    • DOI： 10.1186/s40779-025-00679-z     

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    • 录用：2025-11-25 ，

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相关作者

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Jared M. Wohlgemut
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相关机构

Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London
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Academic Department of Military Surgery and Trauma, Research and Clinical Innovation, The Royal Centre for Defence Medicine
Department of Electronic Engineering and Computer Science, Queen Mary University of London
Sunnybrook Health Sciences Centre