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Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects

Medicine and Health

Machine-learning algorithms for asthma, COPD, and lung cancer risk assessment using circulating microbial extracellular vesicle data and their application to assess dietary effects

A. Mcdowell, J. Kang, et al.

This groundbreaking study reveals high-performing predictive models for COPD, asthma, and lung cancer using machine learning on microbial extracellular vesicle metagenomes from patient serum. Conducted by Andrea McDowell and her team, the research proposes serum microbial EVs as noninvasive diagnostic features with remarkable accuracy.

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~3 min • Beginner • English
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