International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 3
May-June 2026

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Emerging Rapid Diagnostic Approaches for Tuberculosis Detection in Low-Resource Settings: A Narrative Review

Author(s) Mr. Rahul Yadav, Ms. Shivangi Yadav, Dr. Maitri Bajpai
Country India
Abstract Background
Tuberculosis [TB] is still a big global health problem, especially in places with fewer resources. When TB isn't diagnosed quickly, it spreads more easily and leads to more deaths. That's why fast and accurate ways to diagnose TB are so important for catching the disease early and making sure people get the treatment they need.
Objectives
To review recent advances in rapid diagnostic approaches for tuberculosis detection and evaluate their significance in low-resource settings.
Sources
Relevant literature published between 2015 and 2026 was identified through PubMed, Google Scholar, Scopus, and World Health Organization reports.
Content
This narrative review provides an overview of emerging rapid diagnostic technologies for TB, including GeneXpert MTB/RIF, GeneXpert Ultra, Truenat assays, line probe assays, and point-of-care tests such as lateral-flow lipoarabinomannan assays. Recent developments in artificial intelligence-assisted radiology, biosensor technologies, and CRISPR-based diagnostics are also highlighted. The review focuses on diagnostic accuracy, accessibility, advantages, and limitations of these approaches in resource-constrained settings.
Implications
Rapid diagnostic technologies have improved early TB detection and identification of drug-resistant cases, supporting global TB control strategies. However, challenges such as high costs, limited infrastructure, and inadequate technical expertise continue to affect implementation in low-resource regions. Expanding affordable and accessible diagnostic technologies may strengthen tuberculosis control and improve public health outcomes.
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Keywords Tuberculosis, Rapid diagnostics, GeneXpert, Truenat, Point-of-care testing, Low-resource settings
Field Sociology > Health
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-11
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E-ISSN 2582-2160
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