Immunological testing and machine learning in detecting latent tuberculosis among high-risk groups (nature review). [PDF]
Starshinova A +11 more
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Performance of Current Diagnostic Tools in Detecting Latent Tuberculosis Among Healthcare Workers: A Systematic Review. [PDF]
R A, D M, Kv L, Suriya VR, R K.
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Development and validation of a simplified machine learning model based on T-SPOT.TB and routine clinical data for the diagnosis of tuberculous pleural effusion. [PDF]
Yang S, Yang K, Wang L, Pu J, Wang P.
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Refining the diagnostic approach to latent tuberculosis Infection with Quantiferon gold plus: A retrospective analysis of borderline results. [PDF]
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A proteome-wide atlas of humoral immunity to <i>Mycobacterium tuberculosis</i> across the spectrum of disease. [PDF]
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Effect of Variability on Interferon-Gamma Release Assay Performance: A Quantitative Analysis. [PDF]
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Variation in interferon-γ production between QFT-Plus and QFT-GIT assays in TB contact investigation
Respiratory Investigation, 2019Individuals with recent contact with active tuberculosis (TB) patients were screened for latent tuberculosis infection (LTBI) considering their greater relative risk for developing active TB. QuantiFERON®-TB Gold Plus (QFT-Plus) assay offers two TB-specific antigen tubes (TB1 and TB2). TB2 is designed to elicit both CD4 and CD8 T-cell responses.
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