Three-step one-way model in terahertz biomedical detection

Terahertz technology has broad application prospects in biomedical detection. However, the mixed characteristics of actual samples make the terahertz spectrum complex and difficult to distinguish, and there is no practical terahertz detection method for clinical medicine. Here, we propose a three-st...

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Bibliographic Details
Published in:PhotoniX 2021-07, Vol.2 (1), Article 12
Main Authors: Peng, Yan, Huang, Jieli, Luo, Jie, Yang, Zhangfan, Wang, Liping, Wu, Xu, Zang, Xiaofei, Yu, Chen, Gu, Min, Hu, Qing, Zhang, Xicheng, Zhu, Yiming, Zhuang, Songlin
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Biomarkers
Disease
Engineering
Enzymes
High density polyethylenes
Identification
Labeling
Lasers
Medical prognosis
Microwaves
Morphology
Polyethylene
Quantitative analysis
Radiation
RF and Optical Engineering
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Summary:Terahertz technology has broad application prospects in biomedical detection. However, the mixed characteristics of actual samples make the terahertz spectrum complex and difficult to distinguish, and there is no practical terahertz detection method for clinical medicine. Here, we propose a three-step one-way terahertz model, presenting a detailed flow analysis of terahertz technology in the biomedical detection of renal fibrosis as an example: 1) biomarker determination: screening disease biomarkers and establishing the terahertz spectrum and concentration gradient; 2) mixture interference removal: clearing the interfering signals in the mixture for the biomarker in the animal model and evaluating and retaining the effective characteristic peaks; and 3) individual difference removal: excluding individual interference differences and confirming the final effective terahertz parameters in the human sample. The root mean square error of our model is three orders of magnitude lower than that of the gold standard, with profound implications for the rapid, accurate and early detection of diseases.
ISSN:2662-1991
2662-1991
DOI:10.1186/s43074-021-00034-0