An integrative and comprehensive analysis of blood transcriptomes combined with machine learning models reveals key signatures for tuberculosis diagnosis and risk stratification

Tuberculosis (TB) remains a major global health challenge, contributing substantially to morbidity and mortality worldwide. The progression from Mycobacterium tuberculosis (Mtb) infection to active disease involves a complex interplay between host immune responses and Mtb’s ability to evade them. Ho...

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Veröffentlicht in:	Frontiers in microbiology Jg. 16; S. 1546770
Hauptverfasser:	Omrani, Maryam, Ghodousi, Arash, Cirillo, Daniela Maria
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Media S.A 26.05.2025
Schlagworte:	biomarkers blood machine-learning Microbiology Mycobacterium tuberculosis RNA-seq machine-learning Mycobacterium tuberculosis RNA-seq blood biomarkers
ISSN:	1664-302X, 1664-302X
Online-Zugang:	Volltext
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