Temperatures in different areas of the face have been found to be associated with various chronic diseases such as diabetes and high blood pressure by researchers, which could help doctors diagnose and detect metabolic diseases.
Notably, these temperature differences are not easily perceived by one’s touch, however, they can be detected with the help of specific AI-derived temperature patterns that require a thermal camera and a data-trained model. Future research on this can greatly help doctors in early detection of diseases, it is reported Science Daily.
“Aging is a natural process,” says Jing-Dong Jackie Han, the paper’s corresponding author at Peking University in Beijing. “But our tool has the potential to promote healthy aging and help people live disease-free.”
To predict people’s biological age, which indicates how well the body ages, the team had previously used a 3D facial structure. The facial temperatures of more than 2,800 Chinese participants between the ages of 21 and 88 were analyzed by Han and her colleagues.
The information was then used by the researchers to train AI models that could predict a person’s thermal age. They identified several key areas of the face where temperatures were significantly related to age and health, including the nose, eyes and cheeks.
The team found that the temperature of the nose decreases with age at a faster rate than other parts of the face. This means that people with a warmer nose have a younger thermal age. On the other hand, temperatures around the eyes tend to increase with age.
The team also found that people with metabolic disorders such as diabetes and fatty liver disease had faster thermal aging. Compared to their healthy counterparts of the same age, they tended to have higher temperatures in the eye area. In addition, people with elevated blood pressure also had higher cheek temperatures.
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