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Author

Beatrice Skyman

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Open access Oct 2026

Interpretable machine learning identifies predictors of IGF-1 during growth hormone therapy in boys

Insulin-like growth factor-1 (IGF-1) is widely used to guide growth hormone (GH) therapy, yet its predictors during the maintenance phase and puberty remain incompletely understood. We aimed to predict IGF-1 standard deviation scores (SDS) at 3 and 12 months in GH-treated boys and to identify key predictors of IGF-...

Helena-Jamin Ly, Juulia T. Suvilehto, Beatrice Skyman et al. · 0 citations

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