Jorge del Valle-Núñez

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Patients with idiopathic growth hormone (GH) deficiency (iGHD) show a wide interindividual variability in their response to recombinant GH (rGH) therapy. Accurate growth prediction would provide clinicians a helpful tool for planning and optimizing growth promoting therapy. We develop and validate a model to predict the growth response, using accessible(More)
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