about
Feasibility of Long-Term Closed-Loop Control: A Multicenter 6-Month Trial of 24/7 Automated Insulin Delivery.Outcome Measures for Artificial Pancreas Clinical Trials: A Consensus ReportMultinational Home Use of Closed-Loop Control Is Safe and Effective.Is Psychological Stress a Factor for Incorporation Into Future Closed-Loop Systems?Adjustment of Open-Loop Settings to Improve Closed-Loop Results in Type 1 Diabetes: A Multicenter Randomized Trial.Sensitivity of the Predictive Hypoglycemia Minimizer System to the Algorithm Aggressiveness FactorVelocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DMSwitched LPV Glucose Control in Type 1 Diabetes.Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes.Clinical results of an automated artificial pancreas using technosphere inhaled insulin to mimic first-phase insulin secretion.Effect of algorithm aggressiveness on the performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System.Closed-Loop Control Performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System in a Feasibility Study.Design and Evaluation of a Robust PID Controller for a Fully Implantable Artificial Pancreas.Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitusSafety of outpatient closed-loop control: first randomized crossover trials of a wearable artificial pancreasDynamic insulin on board: incorporation of circadian insulin sensitivity variationIn silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control.Design of the health monitoring system for the artificial pancreas: low glucose prediction moduleFully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemiaPredicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitusZone model predictive control: a strategy to minimize hyper- and hypoglycemic events.Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factorControl to range for diabetes: functionality and modular architecture.In silico preclinical trials: methodology and engineering guide to closed-loop control in type 1 diabetes mellitus.Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell.Quest for the artificial pancreas: combining technology with treatmentThe artificial pancreas: current status and future prospects in the management of diabetes.Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial.Clinical evaluation of an automated artificial pancreas using zone-model predictive control and health monitoring system.Moving-horizon-like state estimation via continuous glucose monitor feedback in MPC of an artificial pancreas for type 1 diabetesMPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas.Prevention of nocturnal hypoglycemia using predictive alarm algorithms and insulin pump suspension.Real-Time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreasArtificial pancreas (AP) clinical trial participants' acceptance of future AP technologyNovel methodology to determine the accuracy of the OmniPod insulin pump: a key component of the artificial pancreas system.Modeling the effects of subcutaneous insulin administration and carbohydrate consumption on blood glucose.Design and in silico evaluation of an intraperitoneal-subcutaneous (IP-SC) artificial pancreas.Design of the Glucose Rate Increase Detector: A Meal Detection Module for the Health Monitoring System.Clinically relevant hypoglycemia prediction metrics for event mitigation
P50
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P50
description
Forscher
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chercheur
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investigador
@es
researcher
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ricercatore
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wetenschapper
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研究者
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name
Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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type
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
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Eyal Dassau
@nl
P31
P496
0000-0001-5333-6892