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Cross-Geographic Validation Demonstrates Universal Transcriptomic Signatures for Tuberculosis Diagnosis: A Machine Learning Study

2025-12-31

Abstract excerpt

<title>Abstract</title> <p>Background: Transcriptomic biomarkers for tuberculosis (TB) diagnosis have shown promise in high-income settings, but concerns persist about their generalizability to high-burden endemic regions due to population-specific immune responses, genetic backgrounds, and environmental factors. We performed cross-geographic validation to test whether TB diagnostic signatures are universal or po...

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Literature Corpus work
8271fcab-fa9a-51d4-aaae-b20378fcd219
DOI
10.21203/rs.3.rs-8445596/v1
Open publication

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Cross-Geographic Validation Demonstrates Universal Transcriptomic Signatures for Tuberculosis Diagnosis: A Machine Learning StudyDOI 10.21203/rs.3.rs-8445596/v1
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