Construction of a diagnostic model for tuberculosis based on long non-coding RNA

Background The World Health Organization encourages the development of novel diagnostic tools based on ‘non-sputum’ samples to meet global goals for tuberculosis (TB) control. We aimed to develop a machine learning-driven model for TB diagnosis, using long non-coding RNAs (lncRNAs) as biomarkers.Met...

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Detalhes bibliográficos

Principais autores:	Xiuxiu Ji, Siyu Yao, Hongyan Jia, Qi Sun, Yingchao Wang, Xuetian Shang, Zeqi Wang, Mailing Huang, Lanyue Zhang, Chuanzhi Zhu, Qiuyue Liu, Liping Pan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2026-12-01
coleção:	Annals of Medicine
Assuntos:	Tuberculosis long non-coding RNA biomarker weighted gene co-expression network analysis machine learning
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/07853890.2026.2615538
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