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AI predicts chronic diseases and biological age through facial temperature mapping
Recently, a study published in the journal Cell Metabolism showed that researchers used thermal imaging and artificial intelligence technology to analyze facial temperature to detect a variety of chronic 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 related to various chronic diseases, such as diabetes and high blood pressure. The lower the temperature of the nose, the less thermal aging; while the higher the cheek temperature, it 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 divided...- 2.1k
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