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Diabetes Mellitus, Type 1

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Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor.

Journal of diabetes science and technology
BACKGROUND: In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and need to have the knowledge to adapt decisions to their daily living conditions. Artificial intelligence applications can help people with type 1 diabet...

Automatic Adaptation of Basal Insulin Using Sensor-Augmented Pump Therapy.

Journal of diabetes science and technology
BACKGROUND: People with insulin-dependent diabetes rely on an intensified insulin regimen. Despite several guidelines, they are usually impractical and fall short in achieving optimal glycemic outcomes. In this work, a novel technique for automatic a...

A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.

Journal of diabetes science and technology
BACKGROUND: In type 1 diabetes (T1D) therapy, the calculation of the meal insulin bolus is performed according to a standard formula (SF) exploiting carbohydrate intake, carbohydrate-to-insulin ratio, correction factor, insulin on board, and target g...

Higher concentrations of osteoprotegerin in type 1 diabetic patients are related to retinopathy: Results from the PoznaƄ Prospective Study.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University
BACKGROUND: Osteoprotegerin (OPG) is an arterial calcification marker which has been associated with vascular damage. Elevated OPG concentrations associated with low-grade inflammatory processes are found in diabetic subjects.

Robotic pancreas transplantation in a type 1 diabetic patient with morbid obesity: A case report.

Medicine
RATIONALE: Obesity is considered a relative contraindication to pancreas transplantation due to increased risks of wound-related complications. Robotic surgeries have never been applied for pancreas transplantation in obese recipients though robotic ...

Management of type 1 diabetes in children is boosted by robots.

Nursing children and young people
A survey from the University of Liverpool concludes that young patients are receptive to the use of humanoid robots, and that the younger the children are, the more they are prepared to accept the advice of an assistant on castors.

Blood glucose level prediction based on support vector regression using mobile platforms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The correct treatment of diabetes is vital to a patient's health: Staying within defined blood glucose levels prevents dangerous short- and long-term effects on the body. Mobile devices informing patients about their future blood glucose levels could...

A Risk Based Neural Network Approach for Predictive Modeling of Blood Glucose Dynamics.

Studies in health technology and informatics
For type 1 diabetes patients, maintaining the blood glucose (BG) at normal values is a challenging task due to e.g. variable insulin reactions, diets, lifestyles, emotional conditions, etc. Hyperglycemic and hypoglycemic events can generate various c...

Neutrophil Gelatinase-Associated Lipocalin as an Early Sign of Diabetic Kidney Injury in Children.

Journal of clinical research in pediatric endocrinology
OBJECTIVE: There is some evidence indicating that histopathological changes in type 1 diabetes mellitus (T1DM) emerge before onset of microalbuminuria. The aim of our study was to determine whether urine neutrophil gelatinase-associated lipocalin (NG...

Online prediction of glucose concentration in type 1 diabetes using extreme learning machines.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
We propose an online machine-learning solution to the problem of nonlinear glucose time series prediction in type 1 diabetes. Recently, extreme learning machine (ELM) has been proposed for training single hidden layer feed-forward neural networks. Th...