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Updated: May 5, 2026

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
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通过机器学习驱动的表面增强拉曼光谱分析识别的多谱指纹来追踪损伤的来源

Yanwen Zhuang1, Yu Ouyang2, Li Ding1

  • 1Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, P. R. China.

ACS sensors
|May 3, 2024
PubMed
概括

这项研究引入了一种新的方法,用于早期检测药物诱导的损伤 (DIKI),使用表面增强的Raman散射 (SERS) 在外体上. 机器学习准确地识别损伤的原因和阶段,帮助临床干预.

关键词:
药物诱导的损伤引起的损伤.外基因组是外基因组中的一个.机器学习是机器学习.微型阵列芯片的芯片主要组件分析的主要组件分析表面增强的拉曼散射作用

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Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
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