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Updated: Feb 5, 2026

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超越精选知识:结构性蛋白质嵌入增强基于GNN的个性化癌症预后

Sofia Ormazabal Arriagada, Tsung-Wei Lin, Marta Misztal

    IEEE journal of biomedical and health informatics
    |February 3, 2026
    PubMed
    概括

    我们开发了GLLM,这是一个新的图形学习框架,集成了基因表达,临床数据和蛋白质结构,以预测5年癌症风险. 这种方法可以提高预后准确性,以实现个性化的患者监测和治疗优先级.

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