OptiThyDose: Intelligent Digital Decision Support Tool to Personalise Dosing for Children with Thyroid Diseases

Thyroid hormones are critical for normal brain development, growth, and puberty. Hypo-/hyperthyroidism manifests at birth or during childhood. Thus, prompt, adequate medical treatment is crucial to protect cognitive and physiological development in affected children. Current guidelines recommend standard dosing regimens, despite a wide spectrum of disease variability in terms of severity, activity and receptivity. Over- and under-dosing is frequent, making a decision support tool for optimal and fine-tuned personalised dosing essential for adequate medical care.

The aim of this project is to provide personalised treatment plans for children with a thyroid disease. The consortium will build upon their existing work on an intelligent decision support tool that optimises and computes personalised treatment dosing. The researchers will use computer models that consider individual disease characteristics obtained from observational studies in combination with optimal dosing algorithms to develop an intelligent clinical decision support tool “OptiThyDose” to personalise and optimize dosing regimens. OptiThyDose iteratively computes individual dose regimens based on the patient's age, weight and disease severity to restore and maintain thyroid hormone balance.