Physiologically-constrained neural network digital twins replicate individual glucose dynamics in type 1 diabetes and show clinical equivalence to real observed data on key metrics.
Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models
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A Physiologically-Constrained Neural Network Digital Twin Framework for Replicating Glucose Dynamics in Type 1 Diabetes
Physiologically-constrained neural network digital twins replicate individual glucose dynamics in type 1 diabetes and show clinical equivalence to real observed data on key metrics.