Research on the application value of blood plasma autofluorescence spectroscopy model constructed by machine learning algorithms in identifying the types of post-operative kidney transplantation injury

Blood plasma autofluorescence spectroscopy has potential application in rapid, minimally invasive diagnosis of post-transplantation renal injury and identification of the type of injury.

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Publication Details

Journal
Photodiagnosis and Photodynamic Therapy
Published
2026-02-13
DOI
https://doi.org/10.1016/j.pdpdt.2026.105394
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

Research on the application value of blood plasma autofluorescence spectroscopy model constructed by machine learning algorithms in identifying the types of post-operative kidney transplantation injury

Wenjing Zhou, Wu Peng, Lijuan Wu, Tangyuheng Liu et al.
Photodiagnosis and Photodynamic Therapy
Spectroscopy Techniques in Biomedical and Chemical Research
article

Research on the application value of blood plasma autofluorescence spectroscopy model constructed by machine learning algorithms in identifying the types of post-operative kidney transplantation injury

Wenjing Zhou, Wu Peng, Lijuan Wu, Tangyuheng Liu, Jianhua Zhu
article en

Abstract

Blood plasma autofluorescence spectroscopy has potential application in rapid, minimally invasive diagnosis of post-transplantation renal injury and identification of the type of injury.

Photodiagnosis and Photodynamic TherapyVol. 58
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Good health and well-being
Openalex Percentile: Top 63%
Spectroscopy Techniques in Biomedical and Chemical Research
DOIOpen Access PDFOpenAlex
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