What question did this study set out to answer?

This review aims to identify advancements in diagnosing latent tuberculosis infection (LTBI) using innovative strategies and technologies.

From T-cell sensitization to molecular–intelligent stratification: a roadmap for precision diagnosis of latent tuberculosis infection

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This review outlines a new framework for diagnosing latent tuberculosis infection, suggesting precision approaches for diverse populations.

This review aims to identify advancements in diagnosing latent tuberculosis infection (LTBI) using innovative strategies and technologies.
Reviewed diagnostic evolution from skin tests to molecular approaches.
Proposed a CD4/age-stratified decision framework for targeted screening.
Integrated host-derived analytes and pathogen-derived antigens to create a triage index.
Evaluated multi-omics and AI models, along with point-of-care technologies for improved testing.
Identified a comprehensive three-tier diagnostic index for LTBI.
Highlighted the need for cross-population validation and resource-matched strategies.
Emphasized the potential for precision preventive therapy to significantly impact TB elimination goals.

Ni et al. (2026) studied this question.

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This review outlines a new framework for diagnosing latent tuberculosis infection, suggesting precision approaches for diverse populations.