logo
Loading...
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 HealthExperimental & Molecular Medicine

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.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny