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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Bibliographic Details

Published in:	Frontiers in microbiology Vol. 16; p. 1546770
Main Authors:	Omrani, Maryam, Ghodousi, Arash, Cirillo, Daniela Maria
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 26.05.2025
Subjects:	biomarkers blood machine-learning Microbiology Mycobacterium tuberculosis RNA-seq machine-learning Mycobacterium tuberculosis RNA-seq blood biomarkers
ISSN:	1664-302X, 1664-302X
Online Access:	Get full text
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