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

oleh: Gesham Magombedze, Jotam G. Pasipanodya, Tawanda Gumbo

Format: Article
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.