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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Autores principales:	Gesham Magombedze, Jotam G. Pasipanodya, Tawanda Gumbo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/f6084c5fc4754ebaa58c73fa91449396
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spelling	oai:doaj.org-article:f6084c5fc4754ebaa58c73fa914493962021-12-02T15:56:49ZBacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse10.1038/s42003-021-02184-02399-3642https://doaj.org/article/f6084c5fc4754ebaa58c73fa914493962021-06-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02184-0https://doaj.org/toc/2399-3642Magombedze 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.Gesham MagombedzeJotam G. PasipanodyaTawanda GumboNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Gesham Magombedze Jotam G. Pasipanodya Tawanda Gumbo Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
description	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.
format	article
author	Gesham Magombedze Jotam G. Pasipanodya Tawanda Gumbo
author_facet	Gesham Magombedze Jotam G. Pasipanodya Tawanda Gumbo
author_sort	Gesham Magombedze
title	Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
title_short	Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
title_full	Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
title_fullStr	Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
title_full_unstemmed	Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
title_sort	bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f6084c5fc4754ebaa58c73fa91449396
work_keys_str_mv	AT geshammagombedze bacterialloadslopesrepresentbiomarkersoftuberculosistherapysuccessfailureandrelapse AT jotamgpasipanodya bacterialloadslopesrepresentbiomarkersoftuberculosistherapysuccessfailureandrelapse AT tawandagumbo bacterialloadslopesrepresentbiomarkersoftuberculosistherapysuccessfailureandrelapse
_version_	1718385427794100224

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

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