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AI Identifies Early Pancreatic Cancer Risk
Researchers at the American Mayo Clinic have developed an artificial intelligence model capable of identifying individuals at the highest risk of developing pancreatic cancer three years before diagnosis. The model relies on analyzing health data from electronic medical records and routine test results to detect patterns indicating an increased risk. Pancreatic cancer is often one of the deadliest tumors because it is usually diagnosed at advanced stages. The study showed that the model could predict risks up to three years prior to diagnosis, with a high ability to distinguish those most likely to develop the disease. The formation of the illness is associated with a period of 5 to 7 years, although observable changes may appear later. This approach represents an inexpensive early diagnostic tool based on data typically available in healthcare. The researchers plan to further develop it into an automatic aid for early detection, thereby improving treatment chances.
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