Refresh citation counts and audited metadata (2026-10-02)
Browse files- README.md +2 -1
- config.json +3 -3
- systemsagebrain.pt +2 -2
README.md
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---
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license: mit
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library_name: pyaging
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tags:
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- pyaging
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Brain-system component of Systems Age: a whole-blood DNAm score built from brain-system biomarker and functional PCs and mortality training, returned on an age-like scale.
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| **Predicts** | brain-system biological age |
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---
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library_name: pyaging
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tags:
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- pyaging
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Brain-system component of Systems Age: a whole-blood DNAm score built from brain-system biomarker and functional PCs and mortality training, returned on an age-like scale.
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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.
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| **Predicts** | brain-system biological age |
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config.json
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{
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"approved_by_author": "\u231b",
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"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\u20131896.",
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"citations":
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"citations_date": "2026-
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"clock_name": "systemsagebrain",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1038/s43587-025-00958-3",
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"unit": [
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"years"
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],
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"version": "0.5.
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"year": 2025
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}
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{
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"approved_by_author": "\u231b",
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"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\u20131896.",
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"citations": 57,
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"citations_date": "2026-10-02",
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"clock_name": "systemsagebrain",
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"data_type": "DNA methylation",
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"doi": "https://doi.org/10.1038/s43587-025-00958-3",
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"unit": [
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"years"
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],
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"version": "0.5.7",
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"year": 2025
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}
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systemsagebrain.pt
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size
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size 2017335092
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