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Updated: Jan 20, 2026

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
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机器学习集成的细胞外囊蛋白质组分析用于支气管肺发育不良的早期标志物

Shaili Amatya1, Shawn Rice2, Anne Stanley3

  • 1Neonatal-Perinatal Medicine, Department of Pediatrics, Penn State College of Medicine, Hershey, PA, USA.

Function (Oxford, England)
|January 19, 2026
PubMed
概括

研究人员在早产婴儿血中的细胞外囊中发现了一种9种蛋白质的特征,该特征预测了支气管肺功能失调 (BPD) 风险. 这种"液体活检"方法有助于对早产严重并发症的脆弱性进行分层.

关键词:
美国BPD警察局支气管肺功能失育症 支气管肺功能失育症细胞外囊泡中的细胞外囊泡.机器学习是机器学习.蛋白质组学 蛋白质组学

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