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A comparative study of antibiotic resistance patterns in Mycobacterium tuberculosis - AMR Insights

Summary by AMR Insights
The study uses the Bacterial and Viral Bioinformatics Resource Center to analyze 27,000 Mycobacterium tuberculosis genomic strains, providing a comprehensive overview of antibiotic resistance prevalence and patterns. It uses MTB++, an AI-based tool, to predict resistance profiles and identify key genes associated with resistance. The study highlights the need for targeted diagnostics and personalized treatment plans, highlighting computational l…
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AMR Insights broke the news in on Thursday, February 13, 2025.
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