Deep longitudinal lower respiratory tract microbiome profiling reveals genome-resolved functional and evolutionary dynamics in critical illness
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Research on the lower respiratory tract microbiome has led to various findings, including the development of diagnostic models and machine learning tools to distinguish between colonization and infection. Studies have also explored the relationship between the lung microbiome and factors such as age, immune dynamics, and antibiotic resistance. The research encompasses a range of topics, from the analysis of microbiota in specific conditions to the discovery of unique bacterial characteristics.
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