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Au/SiNCA-based SERS analysis coupled with machine learning for the early-stage diagnosis of cisplatin-induced liver injury.

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第一作者： Shengjie,Ge

第一单位： Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225001, PR China.

作者： Shengjie,Ge ^[1] ; Gaoyang,Chen ^[2] ; Dawei,Cao ^[3] ; Hechuan,Lin ^[3] ; Ziyang,Liu ^[3] ; Meng,Yu ^[1] ; Shiyi,Wang ^[1] ; Zhigang,Wang ^[4] ; Ming,Zhou ^[5]

作者单位： Department of Otorhinolaryngology-Head and Neck Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225001, PR China. ^[1] Department of Oncology, The Second People's Hospital of Taizhou City, Taizhou, 225300, PR China. ^[2] College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, 321004, China. ^[3] Department of Thoracic Surgery, Gaoyou People's Hospital, Yangzhou, 225600, PR China. ^[4] Department of General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, 225001, PR China. Electronic address: mingzhou@yzu.edu.cn. ^[5]

关键词 Liver injury Machine learning Microporous chip Principal component analysis Surface-enhanced Raman scattering

医学主题词动物(Animals);大鼠(Rats);顺铂(Cisplatin);癌症早期检测(Early Detection of Cancer);光谱分析, 拉曼(Spectrum Analysis, Raman);金属纳米粒子(Metal Nanoparticles)

DOI 10.1016/j.aca.2023.341113

PMID 37005023

发布时间 2023-04-04

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准确一般字义偏差语意偏离译文作用小提交