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Deep learning models are capable of autonomously learning and extracting patterns from complex data that are invisible to the human eye, especially the ability of vision converter models to extract hidden information from massive liver MRI scans, transforming these intrahepatic images into quantitative risk estimation indicators for cardiovascular disease (72) ( Figure 2 )

5 Thus, the two-edged trait of ROS allows for the exertion of survival or death of cancer cells based on the intracellular levels of ROS

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McCann JC, Hudes M, Ames BN