Aging associated immunosenescence in rheumatoid arthritis identified by machine learning and single cell profiling
Abstract Rheumatoid arthritis (RA) is increasingly prevalent among older adults, who often experience more severe symptoms and face significant treatment challenges. This study aims to identify specific genes associated with aging in RA and to analyze their immune infiltration using machine learning...
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| Main Authors: | Xinxin Ji, Lingyun Li, Yuanzhuo Jiao, Hui Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-15370-5 |
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