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Researchers from the University of Messina in Italy have developed a new sensorized approach using infrared thermography and a DeepLabCut model to monitor temperature variations in specific knee regions during exercise. This innovative method aims to aid in the early diagnosis and monitoring of knee pathologies such as osteoarthritis and tendon injuries. By combining thermography with data analysis, the study highlights the potential for non-invasive tools for joint health monitoring and preventive diagnostics. The research was published in the journal Sensors and can be accessed for free online. [Extracted from the article]