Image 3_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.tiff

Image 3_Identification and validation of NETs-related biomarkers in active tuberculosis through bioinformatics analysis and machine learning algorithms.tiff

Introduction<p>Diagnostic delays in tuberculosis (TB) threaten global control efforts, necessitating early detection of active TB (ATB). This study explores neutrophil extracellular traps (NETs) as key mediators of TB immunopathology to identify NETs-related biomarkers for differentiating ATB...

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Bibliographic Details
Main Author: Shengfang Xia (21562691) (author)
Other Authors: Qi An (331241) (author), Rui Lin (219434) (author), Yalan Tu (8392593) (author), Zhu Chen (3106) (author), Dongmei Wang (282313) (author)
Published: 2025
Subjects:
Genetic Immunology
active tuberculosis (ATB)
latent tuberculosis infection (LTBI)
diagnosis
neutrophil extracellular traps (NETs)
machine learning
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