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Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiments *.

, , , , and . CCTA, page 534-539. IEEE, (2023)

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Mealtime correction insulin advisor for CGM-informed insulin pen therapy., , and . ACC, page 2917-2922. IEEE, (2013)Black-box Model Identification of Physical Activity in Type-l Diabetes Patients., , , , and . EMBC, page 3910-3913. IEEE, (2018)Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiments *., , , , and . CCTA, page 534-539. IEEE, (2023)Conformance verification for neural network models of glucose-insulin dynamics., , and . HSCC, page 13:1-13:12. ACM, (2020)Ensemble Model Predictive Control Strategies Can Reduce Exercise Hypoglycemia in Type 1 Diabetes: In Silico Studies., , , , and . ACC, page 4752-4758. IEEE, (2019)Enabling Anticipatory Response in Multi-Stage MPC Formulation for Fully Automated Artificial Pancreas System., , , and . CDC, page 2566-2571. IEEE, (2022)Clinical Assessment and Mathematical Modeling of the Accuracy of Continuous Glucose Sensors (CGS)., , , , and . EMBC, page 71-74. IEEE, (2006)Modeling the variability of insulin sensitivity during the menstrual cycle in women with type 1 diabetes to adjust open-loop insulin therapy., , , and . EMBC, page 1543-1546. IEEE, (2021)Model Personalization in an Advanced Automated Insulin Delivery System: An In-Silico Exploration., , , , , , and . ICSC, page 588-593. IEEE, (2022)A Logic-Based Learning Approach to Explore Diabetes Patient Behaviors., , , , and . CMSB, volume 11773 of Lecture Notes in Computer Science, page 188-206. Springer, (2019)