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

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

Abstract Coronary artery disease (CAD) is one of the major cardiovascular diseases and represents the leading causes of global mortality. Developing new diagnostic and therapeutic approaches for CAD treatment are critically needed, especially for an early accurate CAD detection and further timely in...

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Bibliographic Details
Main Authors: Xi Huang, Bo Liu, Shenghan Guo, Weihong Guo, Ke Liao, Guoku Hu, Wen Shi, Mitchell Kuss, Michael J. Duryee, Daniel R. Anderson, Yongfeng Lu, Bin Duan
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Bioengineering & Translational Medicine
Subjects:
coronary artery disease
diagnostics
machine learning
small extracellular vesicles
spectrogram
Online Access:https://doi.org/10.1002/btm2.10420

Internet

https://doi.org/10.1002/btm2.10420

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