Artificial intelligence predicts your life span using activity tracking applications

Researchers may estimate longevity based on physiological traits such as genes or circulating blood factors, but this is not highly scientific. Russian scientists have devised artificial intelligence technology to estimate your age more accurately using applications that track activity through smart phones and watches.
The team used twisted neural networks to find "biological" movement patterns in a wide range of health survey data in the United States and linked it to all periods of life and public health. It is not only about the number of steps, but also about the number of times you move between active and inactive periods, which are reflected in many other factors in your life, such as sleeping habits and visiting sports during these periods.

Experience it yourself with Gero Lifespan, an iPhone app that collects your data from Apple Health, Fitbit, and Rescuetime to predict how old you are.

This application does not provide a complete picture of your health, it only includes your diet, genetics and some critical factors.

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