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Progress in development of an artificial pancreas
David C Klonoff1, Claudio Cobelli, Boris Kovatchev
1Mills-Peninsula Health Services, San Mateo, California 94401, USA. dklonoff@yahoo.com
Journal of Diabetes Science and Technology
|February 11, 2010
Summary
This special issue details 12 new algorithms for artificial pancreas systems, optimizing insulin delivery by considering factors like meals, exercise, and glucose variability. These advances in closed-loop control aim to bring commercial artificial pancreas technology closer to reality for diabetes management.
Area of Science:
- Diabetes Technology
- Artificial Pancreas Systems
- Algorithm Development
Background:
- This issue compiles 12 original articles on advanced algorithms for artificial pancreas insulin delivery.
- Focuses on quantifiable factors influencing insulin delivery, including pharmacokinetics, meal content, exercise, and metabolic variability.
Discussion:
- Algorithms are evaluated using both in silico models and clinical data from closed-loop system users.
- Addresses challenges such as insulin sensitivity variations, glucose monitor accuracy, and hypoglycemia/hyperglycemia risks.
Key Insights:
- Novel algorithms incorporate complex physiological and lifestyle factors for improved glucose control.
- Integration of diverse data points enhances the precision of automated insulin delivery.
Outlook:
- These advancements are crucial steps towards a commercially viable closed-loop artificial pancreas.
- Future systems aim for more robust and personalized glucose management in diabetes care.
