Translational Algorithms for Technological Dietary Quality Assessment Integrating Nutrimetabolic Data with Machine Learning Methods.

Conversely, the pro-WP fraction manifests 19.2% non-consumers, a median of 56.6 g/d, and a narrower variability (IQR: 23.6–80), with a nearly significant divergence ( p = 0.052).

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