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

Although mounting evidence suggests that the microbiome has a tremendous influence on intractable disease, the relationship between circulating microbial extracellular vesicles (EVs) and respiratory disease remains unexplored. Here, we developed predictive diagnostic models for COPD, asthma, and lun...

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Detalles Bibliográficos
Autores principales: McDowell, Andrea, Kang, Juwon, Yang, Jinho, Jung, Jihee, Oh, Yeon-Mok, Kym, Sung-Min, Shin, Tae-Seop, Kim, Tae-Bum, Jee, Young-Koo, Kim, Yoon-Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534896/
https://www.ncbi.nlm.nih.gov/pubmed/36180580
http://dx.doi.org/10.1038/s12276-022-00846-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534896/
https://www.ncbi.nlm.nih.gov/pubmed/36180580
http://dx.doi.org/10.1038/s12276-022-00846-5

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