Identification of markers that distinguish adipose tissue and glucose and insulin metabolism using a multi-modal machine learning approach.

The unscaled models identified, body weight, eugenol sulfate, S-ALAT and MRS—Liver fat were important predictors, however no predictor demonstrated statistical significance in the regression model, except eugenol sulfate, which was nearly significant (βeta 1.04; 95% CI, 0.98 to 1.09) (Supp Fig.

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