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AI identifies mutations in 32 cancer types
Researchers have developed an artificial intelligence model capable of analyzing tumor tissue images to predict the type of cancer, genetic mutations, and patients' survival prospects for 32 types of solid tumors. The model relies on examining stained tissue slide images and was trained on over 11,000 real cases. It demonstrated high accuracy in detecting the TP53 mutation and inferring genetic and histological information about the tumor directly from the image, thereby speeding up and improving diagnostic accuracy while increasing accessibility in resource-limited areas. Experts believe this technology can help identify patients who need expensive genetic testing and support doctors' decision-making more effectively.
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