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Age and life expectancy clocks based on machine learning analysis of mouse frailty
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- 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.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3a49ccbd63f44865818e20ab50fb5065
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-020-18446-0