Machine learning model for predicting age in healthy individuals using age-related gut microbes and urine metabolites-Reference-Cited by-同舟云学术

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

Published:2023-06-23 Issue:1 Volume:15 Page:
ISSN:1949-0976
Container-title:Gut Microbes
language:en
Short-container-title:Gut Microbes

Author:

Seo Seung-Ho¹,Na Chang-Su²,Park Seong-Eun³,Kim Eun-Ju³,Kim Woo-Seok⁴,Park ChunKyun⁵,Oh Seungmi⁵,You Yanghee²,Lee Mee-Hyun²,Cho Kwang-Moon⁶,Kwon Sun Jae⁶,Whon Tae Woong⁷,Roh Seong Woon⁸,Son Hong-Seok³^ORCID

Affiliation:

1. Research & Development Team, Sonlab Inc, Seoul, Republic of Korea

2. College of Korean Medicine, Dongshin University, Naju, Republic of Korea

3. Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea

4. Kyurim Korean Medical Clinic, Cheonan, Republic of Korea

5. Department of Applied Statistics, Yonsei University, Seoul, Republic of Korea

6. AccuGene Inc, Incheon, Republic of Korea

7. Kimchi Functionality Research Group, World Institute of Kimchi, Gwangju, Republic of Korea

8. Microbiome Research Institute, LISCure Biosciences Inc, Seongnam, Republic of Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT

Korea Innovation Foundation

Korea University Grant, and the Institute of Biomedical Science and Food Safety, CJ-Korea University Food Safety Hall at Korea University, Republic of Korea

Publisher

Informa UK Limited

Subject

Infectious Diseases,Microbiology (medical),Gastroenterology,Microbiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/19490976.2023.2226915

Reference68 articles.

1. Biological Age Predictors

2. Telomeres and telomerase: the path from maize, Tetrahymena and yeast to human cancer and aging

3. DNA methylation age of human tissues and cell types

4. The transcriptional landscape of age in human peripheral blood

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