Author

Debosree Sarma

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Open access Jul 2026

A Novel Recurrent Deep Reinforcement Learning Architecture for Nonlinear and Temporally Dependent Control in the Artificial Pancreas

Because of the nonlinear relationship between blood glucose and insulin and the temporal dependencies in human metabolism, the artificial pancreas (AP), a device for controlling blood glucose levels in type 1 diabetes (T1D), is limited in its ability to do so. The majority of traditional control algorithms produce less...

Madhav Prasad, Dr. Neha Tyagi, Debosree Sarma · Genetics and Molecular Resea... · 0 citations

Review Open access Jul 2026

Reinforcement Learning for Automated Insulin Delivery: A Comprehensive Review of Methods, Challenges, and Future Directions

RL-based AID systems represent an important step towards fully autonomous and personalized artificial pancreas solutions and will be dependent on multidisciplinary collaboration between AI researchers, clinicians, and regulators to ensure safety, transparency, and reliability in next generation diabetes management.

Madhav Prasad, Neha Tyagi, K. K. Sarma · Genetics and Molecular Resea... · 0 citations