3 papers
q-bio.QM2025
CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications
David C. Klonoff, Richard M. Bergenstal, Eda Cengiz +16
New methods of CGM data analysis are emerging that are valuable for interpreting CGM patterns and underlying metabolic physiology. These new methods use functional data analysis an…
eess.SY2025
Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes
Alberto Castillo, Elliot Pryor, Anas El Fathi +2
Training Neural Networks (NNs) to behave as Model Predictive Control (MPC) algorithms is an effective way to implement them in constrained embedded devices. By collecting large amo…
stat.AP2024
Distribution-Based Sub-Population Selection (DSPS): A Method for in-Silico Reproduction of Clinical Trials Outcomes
Mohammadreza Ganji, Anas El Fathi, Chiara Fabris +3
Background and Objective: Diabetes presents a significant challenge to healthcare due to the negative impact of poor blood sugar control on health and associated complications. Com…