3 papers
q-bio.QM2026
Explainable AI-based Decision Support for Nocturnal Hypoglycemia Prevention in Type 1 Diabetes
Valentina Roquemen-Echeverri, Peter G. Jacobs, Leah M. Wilson +8
Purpose: Nocturnal hypoglycemia (NH) remains a challenge for individuals with type 1 diabetes (T1D), particularly those who are physically active or on multiple daily injections (M…
cs.LG2026
PhysioSeq2Seq: A Hybrid Physiological Digital Twin and Sequence-to-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes
Phat Tran, Neville Mehta, Clara Mosquera-Lopez +3
Accurate long-horizon glucose forecasting is critical for automated insulin delivery systems, which help people with type 1 diabetes (T1D) manage their glucose and avoid dangerous…
q-bio.QM2025
A Physiologically-Constrained Neural Network Digital Twin Framework for Replicating Glucose Dynamics in Type 1 Diabetes
Valentina Roquemen-Echeverri, Taisa Kushner, Peter G. Jacobs +1
Simulating glucose dynamics in individuals with type 1 diabetes (T1D) is critical for developing personalized treatments and supporting data-driven clinical decisions. Existing mod…