Researchers have shown that certain facial temperatures are linked to a number of chronic conditions, including diabetes and high blood pressure. This information may aid medical professionals in the diagnosis and detection of metabolic diseases.
Notably, these temperature variations are difficult to feel with the naked eye; yet, they can be recognized with the aid of particular AI-derived temperature patterns, which call for a thermal camera and a model that has been trained with data. According to Science Daily, more research on this can greatly assist medical professionals in the early detection of disorders.
According to Jing-Dong Jackie Han, the corresponding author of the paper from Peking University in Beijing, “aging is a natural process.” “But our tool has the potential to promote healthy ageing and help people live disease-free.”
The team has previously employed a 3D facial structure to forecast people’s biological age, which reflects how effectively the body is ageing. Han and colleagues analyzed the facial temperatures of almost 2,800 Chinese volunteers, ranging in age from 21 to 88.
The researchers then trained AI models that could predict a person’s thermal age using the information. They discovered several crucial facial locations, such as the nose, eyes, and cheeks, where temperature was substantially correlated with age and health.
The researchers found that the nose cools down more quickly than other facial regions as people age. Those who have warmer noses are therefore younger in thermal age.
