Machine learning approaches, including random forests, support vector machines, and deep learning algorithms, have been successfully applied to multi-omics data for biomarker discovery and outcome prediction [74,75,76]
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Varesi A, Chirumbolo S, Campagnoli LIM et al (2022) The role of antioxidants in the interplay between oxidative stress and senescence
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