![Longitudinal trajectories, correlations and mortality associations of nine biological ages across 20-years follow-up | eLife Longitudinal trajectories, correlations and mortality associations of nine biological ages across 20-years follow-up | eLife](https://iiif.elifesciences.org/lax/51507%2Felife-51507-fig2-v1.tif/full/1500,/0/default.jpg)
Longitudinal trajectories, correlations and mortality associations of nine biological ages across 20-years follow-up | eLife
![Extracting biological age from biomedical data via deep learning: too much of a good thing? | Scientific Reports Extracting biological age from biomedical data via deep learning: too much of a good thing? | Scientific Reports](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41598-018-23534-9/MediaObjects/41598_2018_23534_Fig3_HTML.jpg)
Extracting biological age from biomedical data via deep learning: too much of a good thing? | Scientific Reports
![Extracting biological age from biomedical data via deep learning: too much of a good thing? | Scientific Reports Extracting biological age from biomedical data via deep learning: too much of a good thing? | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-018-23534-9/MediaObjects/41598_2018_23534_Fig1_HTML.jpg)
Extracting biological age from biomedical data via deep learning: too much of a good thing? | Scientific Reports
![A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge | SpringerLink A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge | SpringerLink](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs11357-021-00480-5/MediaObjects/11357_2021_480_Fig1_HTML.png)