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Robust AI Framework for Comprehensive Tuberculosis Drug Resistance Profiling with Rapid Adaptability
MuseAMR, a multimodal, multi-label deep-learning framework that predicts both individual-drug resistance and clinically actionable composite phenotypes from Mycobacterium tuberculosis genomes, shows robust cross-regional performance and few-shot adaptation to emerging drugs, supporting its potential for regimen-level t...