Reading the immune clock: a machine learning model predicts mouse immune age from cellular patterns
Abstract Aging is accompanied by profound alterations in the immune system; yet, an accurate prediction of immunological age remains challenging. While transcriptomic approaches have yielded insights into immune aging, protein-level profiling and machine learning-based prediction tools remain underd...
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| Hauptverfasser: | , , , , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2025-12-01
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| Schriftenreihe: | Nature Communications |
| Online-Zugang: | https://doi.org/10.1038/s41467-025-67393-1 |
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