Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse

Magombedze et al. propose a new method combining mathematical modeling and machine learning to derive early (within 2 months) effective predictive biomarkers from bacterial load slopes for tuberculosis long term treatment outcomes, thereby accurately predicting treatment failure and success.

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Detalles Bibliográficos
Autores principales: Gesham Magombedze, Jotam G. Pasipanodya, Tawanda Gumbo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/f6084c5fc4754ebaa58c73fa91449396
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