Charlotte I. Lynch

This study trains machine learning models to predict rifampicin resistance in M. tuberculosis based on structural and chemical features of rpoB mutations, achieving moderate accuracy.

This paper predicts pyrazinamide resistance in Mycobacterium tuberculosis using machine learning models trained on pncA mutations and structural features, achieving 80.2% sensitivity and 76.9% specificity.