AIMC Topic: Insulin Infusion Systems

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Data-Driven Robust Control for a Closed-Loop Artificial Pancreas.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
We present a fully closed-loop design for an artificial pancreas (AP) that regulates the delivery of insulin for the control of Type I diabetes. Our AP controller operates in a fully automated fashion, without requiring any manual interaction with th...
Diabetes Mellitus, Type 1 Models, Statistical Insulin Infusion Systems Pancreas, Artificial Humans Machine Learning Blood Glucose
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Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors.

Sensors (Basel, Switzerland) Jul 10, 2020
Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of type 1 diabetes (T1D). These sensors provide in real-time, every 1-5 min, the current blood glucose concentration and its rate-of-change, two key pieces of info...
Blood Glucose Diabetes Mellitus, Type 1 Blood Glucose Self-Monitoring Disease Management Humans Artificial Intelligence Wearable Electronic Devices Insulin Infusion Systems
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Use of Machine Learning and Hybrid Closed Loop Insulin Delivery at Diabetes Camps.

Diabetes technology & therapeutics Jun 15, 2020
Insulin Infusion Systems Humans Machine Learning Blood Glucose Insulin Diabetes Mellitus, Type 1 Hypoglycemic Agents
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Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Sensors (Basel, Switzerland) Jun 5, 2020
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell dysfunction and insulin depletion. While automated insulin delivery systems are now available, many people choose to manage insulin delivery manually through insu...
Insulin Infusion Systems Blood Glucose Pancreas, Artificial Humans Insulin Artificial Intelligence Diabetes Mellitus, Type 1 Algorithms Hypoglycemic Agents
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An artificial intelligence decision support system for the management of type 1 diabetes.

Nature metabolism Jun 1, 2020
Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and insulin depletion. Over 40% of people with T1D manage their glucose through multiple injections of long-acting basal and short-acting bolus insulin, so-called multiple dai...
Reproducibility of Results Adult Blood Glucose Insulin Humans Artificial Intelligence Algorithms Computer Simulation Hypoglycemia Disease Management Glycemic Control Insulin Infusion Systems Decision Support Systems, Clinical Diabetes Mellitus, Type 1 Hyperglycemia Hypoglycemic Agents
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Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes.

Computer methods and programs in biomedicine Feb 26, 2020
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artificial pancreas. In this study, we described the performance and safety of learning-type model predictive control (L-MPC) for artificial pancreas challe...
Middle Aged Adolescent Blood Glucose Diabetes Mellitus, Type 1 Outcome Assessment, Health Care Meals Insulin Infusion Systems Pancreas, Artificial Humans Aged Young Adult Adult Male Machine Learning Algorithms Female
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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Humans Machine Learning Algorithms Computer Simulation Retrospective Studies Female Reproducibility of Results Adult Hypoglycemia Postprandial Period Blood Glucose Self-Monitoring False Positive Reactions Normal Distribution Insulin Infusion Systems Capillaries Insulin Sensitivity and Specificity Diabetes Mellitus, Type 1 Male Hypoglycemic Agents Middle Aged Bayes Theorem Blood Glucose
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Risk-based postprandial hypoglycemia forecasting using supervised learning.

International journal of medical informatics Mar 11, 2019
BACKGROUND: Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postpra...
Retrospective Studies Hypoglycemia Female Supervised Machine Learning Humans Male Postprandial Period Blood Glucose Insulin Forecasting Insulin Infusion Systems Diabetes Mellitus, Type 1 Hypoglycemic Agents
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A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.

IEEE journal of biomedical and health informatics Dec 17, 2018
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG...
Humans Male Blood Glucose Self-Monitoring Blood Glucose Machine Learning Insulin Infusion Systems Insulin Algorithms Precision Medicine Computer Simulation Diabetes Mellitus, Type 1 Female Adult
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Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems.

Journal of diabetes science and technology Jul 31, 2018
BACKGROUND: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes mellitus, automatically considering unannounced meals and exercise without manual user inputs remains challenging.
Hypoglycemic Agents Meals Insulin Infusion Systems Exercise Pancreas, Artificial Humans Blood Glucose Machine Learning Insulin Algorithms Diabetes Mellitus, Type 1
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