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Updated: Jan 27, 2026

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ATOMIC:使用人类肠道微生物组预测亚托皮炎的图形注意力网络.

Hyunsu Bong1, Joonhong Min2, Songhyeon Kim1

  • 1Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea.

Frontiers in immunology
|January 26, 2026
PubMed
概括

一个新的机器学习模型,ATOMIC,通过分析肠道微生物数据,准确地预测亚托皮炎 (AD). 这种可解释的模型识别了关键的微生物,为基于微生物组的个性化疗法和AD的生物标志物发现铺平了道路.

关键词:
亚托邦性皮肤炎的发生.深度学习是一种深度学习.疾病预测 疾病预测图表注意力网络 图表注意力网络我们的肠道微生物组.

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