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SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis.

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Title: SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis.
Authors: Huang, Xi1, Liu, Bo2,3, Guo, Shenghan4,5, Guo, Weihong4, Liao, Ke6, Hu, Guoku6, Shi, Wen2,3, Kuss, Mitchell2,3, Duryee, Michael J.7, Anderson, Daniel R.3, danderso@unmc.edu, Lu, Yongfeng1, ylu2@unl.edu, Duan, Bin2,8,9, bin.duan@unmc.edu
Source: Bioengineering & Translational Medicine; Mar2023, Vol. 8 Issue 2, p1-11, 11p
Database: Applied Science & Technology Source
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        Value: 10.1002/btm2.10420
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              Text: Mar2023
              Type: published
              Y: 2023
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