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Published on: November 3, 2023
A bio-inspired glucose controller based on pancreatic β-cell physiology.
Pau Herrero1, Pantelis Georgiou, Nick Oliver
1Center for Bio-Inspired Technology, Institute of Biomedical Engineering, Imperial College London, London, United Kingdom. pherrero@imperial.ac.uk
This study introduces a novel bio-inspired artificial pancreas controller for type 1 diabetes. The controller, based on a pancreatic beta-cell model, demonstrated effective glucose regulation in a virtual population.
Area of Science:
- Biomedical Engineering
- Endocrinology
- Computational Biology
Background:
- Current type 1 diabetes control algorithms often lack physiological basis.
- Advancements in pancreatic beta-cell mathematical modeling enable bio-inspired control.
- Subcutaneous glucose sensing and insulin delivery present physiological challenges.
Purpose of the Study:
- To present a novel glucose controller for a bio-inspired artificial pancreas.
- To develop a controller that replicates biological pancreas functionality.
- To address challenges associated with subcutaneous insulin delivery.
Main Methods:
- Utilized a mathematical model of beta-cell physiology as the controller's core.
- Incorporated insulin feedback and gain scheduling to manage subcutaneous route limitations.
- Validated the controller using a US Food and Drug Administration-accepted type 1 diabetes mellitus virtual population.
Main Results:
- Achieved blood glucose levels within the target range (70-180 mg/dL) in virtual adults and adolescents.
- Demonstrated a percent time in range of 92.8 ± 7.3% for adults and 83.5 ± 14% for adolescents.
- Showcased effective premeal and postmeal glucose control.
Conclusions:
- This research presents a novel controller based on a subcellular beta-cell model.
- The study demonstrates effective glucose control in a virtual type 1 diabetes population.
- This marks a significant advancement in bio-inspired artificial pancreas technology.
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