Age and life expectancy clocks based on machine learning analysis of mouse frailty
The discovery of interventions that slow aging could be accelerated by employing non-invasive biometrics that predict biological age or life expectancy. Here the authors use longitudinal frailty data from naturally aging mice to develop two such tools, that are responsive to interventions.
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2020-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-18446-0 |