Sensitivity-driven Personalization of a Glucoregulatory Model for Digital Twin Therapeutics in Type 1 Diabetes

arXiv:2609.31259 · eess.SY, cs.SY · Submitted 2026-09-25 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Digital Twin — 15× in this paper · explained in 5 episodes
• Sensitivity Analysis — 13× in this paper
• Prediction Horizon — 9× in this paper
• Accuracy — 7× in this paper · explained in 1 episode
• Personalization — 4× in this paper · explained in 2 episodes
• Automated Insulin Delivery — 3× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Continuous Glucose Monitoring — 3× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Interpretability — 2× in this paper · explained in 15 episodes
• Lowest Error Strategy — 2× in this paper
• Aggregation — 1× in this paper · explained in 1 episode
• Closed-Loop System — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Dynamic Modeling — 1× in this paper · explained in 3 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Multiple Daily Injections — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Sensor-Augmented Pump — 1× in this paper

Related papers

• One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
• A Geometric Decision Procedure for STL Feasibility and Repair
• Submodular Multi-Agent Policy Learning for Online Distributed Task Allocation in Open Multi-Agent Systems
• Policy-Level Recursive Self-Improvement for Embodied AI with a Criticality World Model
• Minimal Experiments for Robust Stabilization: Information, Spectral Geometry, and Duration
• Decentralized Power-Optimal Coordination for Spacecraft Swarms Using Time-Varying Magnetorquer Actuation