Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis

Integrating respiratory microbiome and host immune response through machine learning for respiratory tract infection diagnosis

Abstract At present, the diagnosis of lower respiratory tract infections (LRTIs) is difficult, and there is an urgent need for better diagnostic methods. This study enrolled 136 patients from 2020 to 2021 and collected bronchoalveolar lavage fluid (BALF) specimens. We used metatranscriptome to analy...

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Bibliographic Details
Main Authors: Hongbin Chen, Tianqi Qi, Siyu Guo, Xiaoyang Zhang, Minghua Zhan, Si Liu, Yuyao Yin, Yifan Guo, Yawei Zhang, Chunjiang Zhao, Xiaojuan Wang, Hui Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:npj Biofilms and Microbiomes
Online Access:https://doi.org/10.1038/s41522-024-00548-y
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