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Updated: Jan 14, 2026

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
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慢性病的特征和分类,通过空间MIST和深度学习算法

Arafat Meah1, Nehaben A Gujarati2, Vivette D D'Agati3

  • 1Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York, United States.

American journal of physiology. Renal physiology
|October 24, 2025
PubMed
概括

空间MIST分析揭示了与慢性病 (CKD) 纤维化进展相关的关键蛋白质标记物和空间模式. 这种方法有助于对疾病的严重程度进行分类,并发现CKD的新生物标志物.

关键词:
在CKD中,它是最重要的.图形神经网络是一个神经网络.机器学习是机器学习.一个单细胞分析.空间蛋白质组学 空间蛋白质组学

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