Jun Hyun Bae
Biographic Data
| ID | 7911329 |
|---|---|
| NAME | Jun Hyun Bae |
| GIVEN NAMES | Jun Hyun |
| FAMILY NAME | Bae |
| SIGNATURE | BAE J H |
| AFFILIATIONS | Seoul National University |
| ORCID | 0000-0003-1918-9213 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Deep-learning model for predicting physical fitness in possible sarcopenia
Introduction Physical fitness is regarded as a significant indicator of sarcopenia. This study aimed to develop and evaluate a deep-learning model for predicting the decline in physical fitness due to sarcopenia in individuals with potential sarcopenia. Methods This study used the 2010–2023 Korean National Physical Fitness Award data. The data comprised exercise- and health-related measurements in Koreans aged >65 years and included body composit…
Exercise-Induced Circulating Irisin Level Is Correlated with Improved Cardiac Function in Rats
Irisin, a recently identified myokine, plays an important physiological role in modulating energy homeostasis. However, the role of irisin in cardiac function during exercise has not been evaluated. In this study, we investigated the effect of exercise on irisin, pro-inflammatory cytokines, and cardiac function during 12 weeks of exercise in rats. Eight-week-old Sprague-Dawley male rats were randomly divided into two groups (n = 9 per group): sed…
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Exercise-Induced Circulating Irisin Level Is Correlated with Improved Cardiac Function in Rats
Irisin, a recently identified myokine, plays an important physiological role in modulating energy homeostasis. However, the role of irisin in cardiac function during exercise has not been evaluated. In this study, we investigated the effect of exercise on irisin, pro-inflammatory cytokines, and cardiac function during 12 weeks of exercise in rats. Eight-week-old Sprague-Dawley male rats were randomly divided into two groups (n = 9 per group): sed…
Deep-learning model for predicting physical fitness in possible sarcopenia
Introduction Physical fitness is regarded as a significant indicator of sarcopenia. This study aimed to develop and evaluate a deep-learning model for predicting the decline in physical fitness due to sarcopenia in individuals with potential sarcopenia. Methods This study used the 2010–2023 Korean National Physical Fitness Award data. The data comprised exercise- and health-related measurements in Koreans aged >65 years and included body composit…
Internal Medicine (2 works) · Medicine (2 works) · Adipokines, Inflammation, and Metabolic Diseases (1 work) · Adipose Tissue and Metabolism (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Body Composition Measurement Techniques (1 work) · Body mass index (1 work) · Cardiac function curve (1 work) · Cardiac output (1 work)