Key result
Mathematically optimized insulin infusion models theoretically reduce hyperglycemia and improve postprandial glucose control in diabetes.
Why the study?
Mathematical optimization techniques were applied to a simplified model of blood glucose dynamics to derive insulin infusion programs for diabetic individuals.
Mathematical modeling can be used to optimize insulin infusion programs for blood glucose control in diabetes.
May inform model-based insulin dosing algorithms; leaves open prospective clinical validation in diabetes.
Mathematical optimization techniques are applied to a simplified mathematical model of blood glucose dynamics to derive insulin infusion programs for the control of blood glucose levels in diabetic individuals. Two particular cases are discussed. First, the insulin infusion program which results in an initially high blood glucose level being reduced to acceptable levels. Second, the control of blood glucose levels following a meal, prior to which blood glucose and net blood-glycemic hormone were at their fasting levels.
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Fisher et al. (1989) studied Diabetes. Insulin infusion programs derived from mathematical optimization was evaluated on Control of blood glucose levels. Mathematical optimization techniques applied to a model of blood glucose dynamics can derive insulin infusion programs to reduce high glucose levels and control postprandial glucose in diabetes.
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