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Machine-learning models built on single-site speech, gait, or diffusion-magnetic resonance imaging (MRI) datasets boast dazzling accuracies, yet most collapse when tested externally because preprocessing pipelines, scanner parameters, and class definitions are neither standardized nor reported in full [256,257,258]

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Several trials and updated analyses indicate improvements in fasting insulin, HOMA-IR, BMI/waist indices, and lipid parameters, particularly among women with obesity or IR and low baseline 25(OH)D, whereas pooled estimates from other RCTs fail to show consistent effects on fasting glucose or HOMA-IR, likely reflecting underpowered studies and short follow-up (118)