Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids

Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids

ABSTRACT Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. Vaginal flui...

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Bibliographic Details
Main Authors: Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang
Format: Article
Language:English
Published: American Society for Microbiology 2025-01-01
Series:mSystems
Subjects:
SERS
machine learning
bacterial vaginosis
deep learning
rapid identification
Online Access:https://journals.asm.org/doi/10.1128/msystems.01058-24
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