Deep-learning analysis suggests a facial image signal associ…
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- DOI 10.3389/fcell.2026.1964880
- OpenAlex ID W7221454183
- Type Article
- Language EN
- Published 12 Oct 2026
- Volume 14
- Source Frontiers in Cell and Developmental Biol…
- Publisher Frontiers Media
- Countries 1
- Institutions 3
- Added 12 Oct 2026
- Updated 15 Oct 2026
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Deep-learning analysis suggests a facial image signal associated with low muscle mass in a clinical cohort enriched for chronic liver disease: a proof-of-concept study
Article 2026 EN Gold
Background Sarcopenia is a clinically relevant complication of chronic liver disease. Because changes in muscle mass, adiposity, and nutritional status may affect facial morphology, this exploratory study examined whether standardized frontal facial photographs contain an algorithmically detectable signal associated with low measured muscle mass. Methods Prospectively collected clinical data and f…
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32
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Thomas Fuchs Corresponding | Medical University of Graz (AT) | |
| 2 | Akhila Abdulnazar | Center For Biomarker Research … (AT) | |
| 3 | Lavra Rebol | Medical University of Graz (AT) Center For Biomarker Research … (AT) | — |
| 4 | Peter Fickert | Medical University of Graz (AT) | |
| 5 | Thomas Gremsl | Private Pädagogische Hochschul… (AT) | — |
| 6 | Vanessa Stadlbauer | Medical University of Graz (AT) Center For Biomarker Research … (AT) |
Data: OpenAlex