医学
仿形(计算机编程)
疾病
蛋白质组学
内科学
计算生物学
生物化学
计算机科学
生物
基因
操作系统
化学
标识
DOI:10.1016/j.ekir.2024.02.261
摘要
The development of blood-based multi-biomarker panels for screening diabetic patients, and as an easy-to-access tool for identifying individuals at greatest risk of developing diabetic kidney disease (DKD) and its progression, is essential. However, conventional blood biomarker-based methodologies (e.g. clinical tests and ELISA) are unable to predict DKD progression with high sensitivity and specificity.
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