Age and life expectancy clocks based on machine learning analysis of mouse frailty
oleh: Michael B. Schultz, Alice E. Kane, Sarah J. Mitchell, Michael R. MacArthur, Elisa Warner, David S. Vogel, James R. Mitchell, Susan E. Howlett, Michael S. Bonkowski, David A. Sinclair
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-09-01 |
Deskripsi
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.