| library_name: pyaging | |
| tags: | |
| - pyaging | |
| - aging-clock | |
| - biology | |
| - dna-methylation | |
| # systemsage | |
| Composite Systems Age integrates the 11 mortality-associated physiological-system scores plus a DNAm chronological-age prediction through PCA and Cox elastic-net regression, then rescales the result to an age-like value. | |
| Model weights retain the original authors' terms; the pyaging software license does not relicense them. These weights are restricted to research use under the authors' terms. | |
| | | | | |
| |---|---| | |
| | **Predicts** | multisystem biological age | | |
| | **Species** | Homo sapiens | | |
| | **Tissue** | whole blood | | |
| | **Data type** | DNA methylation | | |
| | **Model type** | PCA + elastic net regression | | |
| | **Year** | 2025 | | |
| ## Use with pyaging | |
| ```python | |
| import pyaging as pya | |
| pya.pred.predict_age(adata, ["systemsage"]) | |
| ``` | |
| Browse every clock in the [pyaging Clock Catalogue](https://pyaging.readthedocs.io). | |
| ## Citation | |
| Sehgal, R., Markov, Y., Qin, C., et al. (2025). Systems Age: a single blood methylation test to quantify aging heterogeneity across 11 physiological systems. Nature Aging, 5, 1880–1896. | |
| https://doi.org/10.1038/s43587-025-00958-3 | |