Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection

Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major clinical and public health problem. We hypothesize that multiparameter strategies that probe immune responses to Mycobacterium tuberculosis can provide new diagnostic insights into not only the status...

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Detalles Bibliográficos
Autores principales: Robison, Heather M., Chapman, Cole A., Zhou, Haowen, Erskine, Courtney L., Theel, Elitza, Peikert, Tobias, Lindestam Arlehamn, Cecilia S., Sette, Alessandro, Bushell, Colleen, Welge, Michael, Zhu, Ruoqing, Bailey, Ryan C., Escalante, Patricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520014/
https://www.ncbi.nlm.nih.gov/pubmed/34654869
http://dx.doi.org/10.1038/s41598-021-99754-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520014/
https://www.ncbi.nlm.nih.gov/pubmed/34654869
http://dx.doi.org/10.1038/s41598-021-99754-3

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