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Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.

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Title: Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.
Authors: Zeng, Xiao1 (AUTHOR), Ma, Qiong1 (AUTHOR), Huang, Chun-Xia1 (AUTHOR), Xiao, Jun-Jie1 (AUTHOR), Fu, Xi1,2 (AUTHOR), Ren, Yi-Feng1,2 (AUTHOR), Qu, Yu-Li3 (AUTHOR), Xiang, Hong-Xia1 (AUTHOR), Lei, Mao1 (AUTHOR), Zheng, Ru-Yi1 (AUTHOR), Zhong, Yang1 (AUTHOR), Xiao, Ping4 (AUTHOR), Zhuang, Xiang4 (AUTHOR), You, Feng-Ming1,2 (AUTHOR) yfmdoc@163.com, He, Jia-Wei1 (AUTHOR) damonvincent@foxmail.com
Source: Journal of Translational Medicine. 11/28/2024, Vol. 22 Issue 1, p1-16. 16p.
Database: Academic Search Ultimate
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An: 181201077
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  Data: Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Translational+Medicine%22">Journal of Translational Medicine</searchLink>. 11/28/2024, Vol. 22 Issue 1, p1-16. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181201077
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        Value: 10.1186/s12967-024-05802-7
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              Text: 11/28/2024
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