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Updated: Aug 16, 2026

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通过综合生物信息学和机器学习算法识别与甲状腺相关的川崎病新生物标志物

Yan Wang1,2, Ying Liu1, Nana Wang3

  • 1Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, China.

Translational pediatrics
|September 12, 2024
PubMed
概括

这项研究确定了CKAP4和SRPK1作为Kawasaki病 (KD) 中关键的菌相关基因. 这些生物标志物具有很高的诊断潜力,并且与KD患者的免疫细胞活性有关.

关键词:
川崎病 (KD) 是一种生物信息学分析分析免疫细胞的透.机器学习是机器学习.线粒细胞衰变 (mitophagy) 是一种神经衰变.

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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...