Immunological testing and machine learning in detecting latent tuberculosis among high-risk groups (nature review)

IntroductionTuberculosis infection remains one of the most dangerous and difficult to diagnose diseases. To date, issues related to the early diagnosis of tuberculosis remain unresolved, which is particularly important for its detection in high-risk groups. The detection of latent tuberculosis infec...

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Bibliografiske detaljer

Principais autores:	Anna Starshinova, Adilya Sabirova, Igor Kudryavtsev, Artem Rubinstein, Leonid P. Churilov, Ekaterina Belyaeva, Kulpina Anastasia, Raul A. Sharipov, Ravil K. Tukfatullin, Nikolay Nikolenko, Irina Dovgalyuk, Dmitry Kudlay
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2026-01-01
Serier:	Frontiers in Medicine
Fag:	tuberculosis infection risk groups early diagnosis latent tuberculosis infection immunological tests T-cell response
Online adgang:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1710960/full
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