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. |
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| 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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| ISSN: | 23806761 |
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| DOI: | 10.1002/btm2.10420 |
