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The Applying ANN inference (ANNi) model, trained on human muscle transcriptomes, uncovered aging regulators including CHAD, ZDBF2, USP54, and JAK2, as well as exercise-responsive genes such as SCFD1 , KDM5D , EIF4A2 , and NIPAL3 , modeling directed regulatory interactions that prioritize candidate intervention targets while recognizing that definitive causality requires validation through orthogonal perturbation

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