Incredible, but true: this AI (artificial intelligence) can decipher your state of health by scanning your face.
It sounds crazy, but when you know that the artificial intelligence (IA) might treat baldness, nothing surprises you anymore. Indeed, Chinese researchers are in the process of developing a the IA project who would be able to tell if you are healthy or not. We will explain everything to you.
An AI that can tell if your body is healthy
Developed by chinese researchersthis AI might predict if you are healthy or not and whether you will have any medical problems in the future. How ? In fact, this AI might scan your face and establish the biological age that illustrates the health of our cells. Overall, this artificial intelligence would be able to give a actual age at your body and to your body.
If you’re 35 and the AI says you’re 55, then you’re likely to have health issues and a poor lifestyle, researchers say. Intelligence would be able to detect the appearance of wrinkles, the aging of your cells of the face… She gives your real age of your bodydeteriorated by your way of life in particular (tobacco, lack of physical activity, exposure to pollution, etc.).
SEE ALSO: This start-up designs AI solutions for language disorders
A very in-depth Chinese study on cell aging
An AI that was actually created following a study carried out by researchers in 2020. Jing-Dong Handigital biologist from peking universityand his team, analyzed 3D face photos of 5,000 people to develop a tool to calculate biological age. A biological clock that allows you to observe changes in the skin, among other things.
“Accelerated aging is highly associated with infections and inflammation,” the researchers said.
“Overall, we find that humans age at different ratesboth in the blood and in the face, but in a coherent way and with a heterogeneity that culminates with middle age« the researchers added.
“Our study provides an example of how artificial intelligence can be harnessed to determine the perceived age of humans as biological age markerwhile no longer depending on chronological age prediction errors, and to estimate the heterogeneity of rate of aging in a population« they also assured.
