Deep Learning Helps Create Biological Aging Clock

Your birthday comes around reliably every year, same day. It tells you how “old” you are, but it doesn’t tell you how biologically old you are. There’s a difference in geroscience. Your birthday may numerically bump you up every year, but if you’re, say, really fit, your biological age may be lower than your traditional age. Essentially, your body isn’t deteriorating as quickly as other peoples’ born the same year as you.

There are several different biomarkers that may indicate your biological age, and scientists are using them to develop biological aging clocks that predict this age. Deep learning helped create an aging clock that more accurately predicts this age across multiple populations—which means it created a clock that can be used around the globe, not just locally like other aging clocks.

Photo by Sonja Langford on Unsplash