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Gut Microbes Volume 15, 2023 - Issue 1
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Research Paper

Machine learning model for predicting age in healthy individuals using age-related gut microbes and urine metabolites

Seung-Ho Seoa Research & Development Team, Sonlab Inc, Seoul, Republic of KoreaView further author information
,
Chang-Su Nab College of Korean Medicine, Dongshin University, Naju, Republic of KoreaView further author information
,
Seong-Eun Parkc Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of KoreaView further author information
,
Eun-Ju Kimc Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of KoreaView further author information
,
Woo-Seok Kimd Kyurim Korean Medical Clinic, Cheonan, Republic of KoreaView further author information
,
ChunKyun Parke Department of Applied Statistics, Yonsei University, Seoul, Republic of KoreaView further author information
,
Seungmi Ohe Department of Applied Statistics, Yonsei University, Seoul, Republic of KoreaView further author information
,
Yanghee Youb College of Korean Medicine, Dongshin University, Naju, Republic of KoreaView further author information
,
Mee-Hyun Leeb College of Korean Medicine, Dongshin University, Naju, Republic of KoreaView further author information
,
Kwang-Moon Chof AccuGene Inc, Incheon, Republic of KoreaView further author information
,
Sun Jae Kwonf AccuGene Inc, Incheon, Republic of KoreaView further author information
,
Tae Woong Whong Kimchi Functionality Research Group, World Institute of Kimchi, Gwangju, Republic of KoreaView further author information
,
Seong Woon Rohh Microbiome Research Institute, LISCure Biosciences Inc, Seongnam, Republic of KoreaView further author information
&
Hong-Seok Sonc Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of KoreaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2102-7785View further author information
ORCID Icon show all
Article: 2226915 | Received 26 Oct 2022, Accepted 14 Jun 2023, Published online: 23 Jun 2023

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