Fig. 5: Fit of the analytical model derived using symbolic regression to measured data. | npj Systems Biology and Applications

Fig. 5: Fit of the analytical model derived using symbolic regression to measured data.

From: Conditional universal differential equations capture population dynamics and interindividual variation in c-peptide production

Fig. 5

a–c Model fit for individuals with the median error value for each glucose tolerance condition. Model fits are shown with the solid line, measured c-peptide values are indicated with the circles. The model simulations for the 95% confidence intervals on the parameters are shown in dashed lines. d Model error value distributions split by glucose tolerance condition. e–g Correlation of personalized kM estimate with e the first-phase insulin production measured during the hyperglycaemic clamp, f age (years), and g the insulin sensitivity index measured using a hyperinsulinemic-euglycemic clamp test.

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