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Updated: May 28, 2025

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揭示NLR路径签名:EP300和CPN60标记器与临床数据和机器学习集成,用于准确的NASH诊断

Marwa Matboli1, Noha E El-Attar2, Ibrahim Abdelbaky3

  • 1Medical biochemistry and molecular biology department, Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt; Molecular biology Research Lab. Faculty of Oral and Dental Medicine, Misr International University, Egypt.

Cytokine
|February 9, 2025
PubMed
概括

准确的早期诊断非酒精性脂肪肝炎 (NASH) 是至关重要的. 整合分子和临床数据的机器学习模型在识别NASH时达到97%的准确性,有望更早地检测和治疗.

关键词:
机器学习是机器学习.纳什·纳什 (Nash Nash) 是一个名为纳什的城市.在NLRP3炎症酶体中,NLRP3炎症非侵入性的生物标志物

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