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The use of patient models describing the dynamics of glucose, insulin, and possibly other metabolic species associated with glucose regulation allows diabetes researchers to gain insights regarding novel therapies via simulation. However, such models are only useful when model parameters are effectively estimated with patient data.

Parameter Set Uniqueness and Confidence Limits in Model Identification of Insulin Transport Models from Simulation Data