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Machine Learning Models Predict Hepatocellular Carcinoma Treatment Response

According to research publsihed in the American Journal of Roentgenology, machine learning models applied to presently underutilized imaging features could help construct more reliable criteria for organ allocation and liver transplant eligibility.

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