Recently, a study published in the journal Cell Metabolism showed that researchers used thermal imaging cameras andAITechnology, by analyzing facial temperature, can detect a variety ofChronic diseases, and assess a person's physiological age. This innovative method provides new possibilities for early disease diagnosis and health monitoring.
Studies have found that the temperature of different areas of the face is associated with various chronic diseases, such as diabetes and high blood pressure. A lower temperature in the nose indicates less thermal aging, while a higher temperature in the cheeks may indicate increased blood pressure. Increased temperature around the eyes may be associated with metabolic disorders such as diabetes and fatty liver.
The research team analyzed facial temperature data from more than 2,800 Chinese participants aged 21 to 88, using this information to train an AI model to predict a person's "thermal age." They identified several key facial areas, such as the nose, eyes, and cheeks, whose temperatures were significantly correlated with age and health status.
Professor Jing-Dong Jackie Han from Peking University said: "Our tool has the potential to promote healthy aging and help people stay away from disease."
Studies have also found that regular exercise can reduce a person's thermal age. In one experiment, 23 participants who jumped rope at least 800 times a day for two weeks showed that their thermal age decreased by an average of five years.
The research team plans to further explore the application of thermal facial imaging in predicting other diseases, such as sleep disorders or cardiovascular disease. Professor Han stressed: "We hope to apply thermal facial imaging to clinical practice because it has great potential for early disease diagnosis and intervention."
This research, supported by the National Natural Science Foundation of China and the Ministry of Science and Technology, opens up new avenues for health monitoring and disease prevention.