Open access
Sep 2026
Meta-Learning in Biologically Informed Recurrent Neural Networks for Personalized System Identification of Glucose--Insulin Dynamics
This work embeds prior physiological knowledge about the glucose–insulin relation in the training procedure of RNNs, following the framework of knowledge-guided learning (KGL), and employs model-agnostic meta-learning (MAML) to deal with interpatient variability.
S. De Carli, Nicola Licini, F. Corrini et al.
· IEEE Transactions on Control... · 0 citations