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Updated: Sep 17, 2025

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
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多组学和机器学习识别免疫代谢生物标志物,用于对非结核菌和潜伏结核感染的活跃结核病诊断

Nguyen Tran Nam Tien1, Nguyen Thi Hai Yen1, Nguyen Ky Phat1

  • 1Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea.

Journal of proteome research
|July 2, 2025
PubMed
概括

这项研究使用机器学习识别了新的脂质生物标志物,以区分活跃结核病 (TB) 与非结核菌 (NTM),潜伏结核感染 (LTBI) 和其他肺部疾病 (ODx). 脂质PC{14:0_22:6) 显示出作为结核病的诊断生物标志物的巨大潜力.

关键词:
生物标志物 生物标志物诊断 诊断 诊断 诊断 诊断 诊断机器学习是机器学习.多种多种多种多种多种多种多种多种多种多种.非结核性真菌细菌感染的感染.结核病是一种肺结核病.

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