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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

Crossref DOI link: https://doi.org/10.1038/s12276-022-00846-5

Published Online: 2022-09-30

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

McDowell, Andrea

Kang, Juwon

Yang, Jinho https://orcid.org/0000-0001-7207-6846
Jung, Jihee

Oh, Yeon-Mok

Kym, Sung-Min

Shin, Tae-Seop

Kim, Tae-Bum

Jee, Young-Koo https://orcid.org/0000-0001-5800-8038
Kim, Yoon-Keun
Funding

Funding for this research was provided by:

National Research Foundation of Korea (NRF-2019M3E5D3073372, NRF-2019M3E5D3073365)

Ministry of Health and Welfare (HR16C0001)

Ministry of Trade, Industry and Energy (20013712)
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Text and Data Mining valid from 2022-09-30

Version of Record valid from 2022-09-30
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Article History

Received: 2 February 2022

Revised: 17 June 2022

Accepted: 12 July 2022

First Online: 30 September 2022

Competing interests

: The authors declare no competing interests.

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