Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia.

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Bibliographic Details
Title: Artificial-intelligence-driven discovery of prognostic biomarker for sarcopenia.
Authors: Chung H; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea., Jo Y; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea., Ryu D; Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea., Jeong C; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.; Medical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea., Choe SK; Sarcopenia Total Solution Center, Wonkwang University School of Medicine, Iksan, Republic of Korea.; Department of Microbiology, and Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Jeonbuk, Republic of Korea., Lee J; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.
Source: Journal of cachexia, sarcopenia and muscle [J Cachexia Sarcopenia Muscle] 2021 Dec; Vol. 12 (6), pp. 2220-2230. Date of Electronic Publication: 2021 Oct 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: John Wiley & Sons Ltd on behalf of Society on Sarcopenia, Cachexia and Wasting Disorders Country of Publication: Germany NLM ID: 101552883 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2190-6009 (Electronic) Linking ISSN: 21905991 NLM ISO Abbreviation: J Cachexia Sarcopenia Muscle Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2190-6009
DOI:10.1002/jcsm.12840