Bangladesh MTB Genomic Surveillance Study

Integrative Computational Profiling of Antimicrobial Resistance Genes and Machine Learning-Based Prediction of Drug-Resistant Mycobacterium tuberculosis in Bangladesh. Sifatullah Bilal Tuberculosis (TB) caused by Mycobacterium tuberculosis (MTB) remains a critical public health emergency in Bangladesh, one of the 30 high-burden TB countries globally. This study presents the largest integrative whole-genome sequencing (WGS) and machine learning (ML) analysis of drug-resistant MTB in Bangladesh to date, combining WGS of 250 clinical isolates collected from all eight administrative divisions (2015–2025) with systematic antimicrobial resistance (AMR) gene profiling, statistical analysis, and multi-model ML classification. The cohort was dominated by lineages L2 (East Asian/Beijing; 44%) and L4 (Euro-American; 35.6%), with a combined MDR/Pre-XDR/XDR burden of 23.2%. rpoB mutations were detected in 41.6% of isolates, followed by…