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421 AI algorithms have demonstrated significant potential in predicting diabetic complications, enabling targeted interventions for high-risk individuals

119 Research indicates that factors such as age, diet, alcohol consumption, fructose-rich intake, pharmacologic interventions and diseases, such as obesity, insulin resistance, Down syndrome, and kidney disease, contribute to the development of hyperuricemia 120,121,122,123,124 (Fig

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Over the past years, our knowledge of the pathogenesis of IR and T2DM has improved, the development of new treatments of IR and metabolic syndrome have gained certain success, while the complexity of IR and the presence of multiple feedback loops make a challenge to the specific intervention