Researchers analyzed skin cells from the very young to the very old and looked for molecular signatures that can be predictive of age. By applying machine-learning algorithms to these biomarkers, they were able to predict a person's actual age with less than eight years error, on average.
from Top Technology News -- ScienceDaily https://www.sciencedaily.com/releases/2018/12/181220104715.htm
from Top Technology News -- ScienceDaily https://www.sciencedaily.com/releases/2018/12/181220104715.htm
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