most citedGlycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals

Asiful Arefeen, Saman Khamesian, Maria Adela Grando +2

Frequent and long-term exposure to hyperglycemia increases the risk of chronic complications, including neuropathy, nephropathy, and cardiovascular disease. Existing continuous sub…

cs.LG2026

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Saman Khamesian, Sri Harini Balaji, Di Yang Shi +5

Type 1 Diabetes (T1D) management requires continuous adjustment of insulin and lifestyle behaviors to maintain blood glucose within a safe target range. Although automated insulin…

cs.LG20261 cited

Glycemic-Aware and Architecture-Agnostic Training Framework for Blood Glucose Forecasting in Type 1 Diabetes

Saman Khamesian, Asiful Arefeen, Maria Adela Grando +2

Managing Type 1 Diabetes (T1D) demands constant vigilance as individuals strive to regulate their blood glucose levels and avoid dysglycemia, including hyperglycemia and hypoglycem…

cs.LG2025

AZT1D: A Real-World Dataset for Type 1 Diabetes

Saman Khamesian, Asiful Arefeen, Bithika M. Thompson +2

High quality real world datasets are essential for advancing data driven approaches in type 1 diabetes (T1D) management, including personalized therapy design, digital twin systems…

cs.AI2025

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence

Saman Khamesian, Asiful Arefeen, Stephanie M. Carpenter +1

Maintaining a balanced diet is essential for overall health, yet many individuals struggle with meal planning due to nutritional complexity, time constraints, and lack of dietary k…