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Bacterial load slopes represent biomarkers of tuberculosis therapy success, failure, and relapse
oleh: Gesham Magombedze, Jotam G. Pasipanodya, Tawanda Gumbo
Format: | Article |
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Diterbitkan: | Nature Portfolio 2021-06-01 |
Deskripsi
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.