From immunology to artificial intelligence: revolutionizing latent tuberculosis infection diagnosis with machine learning.

Li, Lin-Sheng; Yang, Ling; Zhuang, Li; Ye, Zhao-Yang; Zhao, Wei-Guo; Gong, Wen-Ping

Li, Lin-Sheng; Yang, Ling; Zhuang, Li; Ye, Zhao-Yang; Zhao, Wei-Guo; Gong, Wen-Ping.

Afiliación

Li LS; Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, the Eighth Medical Center of PLA General Hospital, Beijing, 100091, China.
Yang L; Hebei North University, Zhangjiakou, 075000, Hebei, China.
Zhuang L; Senior Department of Respiratory and Critical Care Medicine, the Eighth Medical Center of PLA General Hospital, Beijing, 100091, China.
Ye ZY; Hebei North University, Zhangjiakou, 075000, Hebei, China.
Zhao WG; Hebei North University, Zhangjiakou, 075000, Hebei, China.
Gong WP; Hebei North University, Zhangjiakou, 075000, Hebei, China.

Mil Med Res ; 10(1): 58, 2023 Nov 28.

Article en En | MEDLINE | ID: mdl-38017571

Asunto(s)

Tuberculosis Latente; Tuberculosis; Humanos; Tuberculosis Latente/diagnóstico; Inteligencia Artificial; Epigénesis Genética; Tuberculosis/diagnóstico; Aprendizaje Automático; Biomarcadores

Palabras clave

Biomarkers; Differential diagnosis; Latent tuberculosis infection (LTBI); Machine learning (ML); Tuberculosis (TB)

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Tuberculosis / Tuberculosis Latente Límite: Humans Idioma: En Revista: Mil Med Res Año: 2023 Tipo del documento: Article País de afiliación: China

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