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One significant advantage of using DNN learning is that it maximizes the model accuracy by mapping features through a series of nonlinear functions that are stitched together in a combinatorial fashion

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This nuclear localization in elderly Leydig cells correlated with reduced expression of 3-HSD, a crucial enzyme for testosterone synthesis, suggesting a link between nuclear FOXO4 and age-related decline in testosterone production [2]