Publications by authors named "Shahar Miller"

Background: Data regarding glycemic control in children and adolescents with a dual diagnosis of type 1 diabetes mellitus (T1DM) and attention-deficit/hyperactivity disorder (ADHD) are limited.

Objective: To compare various aspects of diabetes control among youth with T1DM, between those with and without ADHD.

Methods: In this cross-sectional study of youth with T1DM, 39 had ADHD (mean age 14.

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Aims: To evaluate the safety, efficacy and need for remote monitoring of the MD-Logic closed-loop system during short-term overnight use at home.

Methods: Seventy-five patients (38 male; aged 10-54 years; average A1c, 7.8% ± 0.

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Introduction: We developed a unique remote monitoring and control diabetes management system (MDRS) supporting the use of an artificial pancreas (AP) at home. In this study, we aimed at assessing the efficacy and safety of the MDRS and its ability to prevent or shorten nocturnal hypoglycemia episodes without the use of an AP, as well as evaluating parental attitudes toward the use of such a system in the future.

Materials And Methods: This was a prospective, case control, randomized study.

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Objective: We evaluated the effect of the MD-Logic system on overnight glycemic control at patients' homes.

Research Design And Methods: Twenty-four patients (aged 12-43 years; average A1c 7.5 ± 0.

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Background: The Control to Range Study was a multinational artificial pancreas study designed to assess the time spent in the hypo- and hyperglycemic ranges in adults and adolescents with type 1 diabetes while under closed-loop control. The controller attempted to keep the glucose ranges between 70 and 180 mg/dL. A set of prespecified metrics was used to measure safety.

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Background: Artificial pancreas (AP) systems have shown an improvement in glucose control and a reduced risk of nocturnal hypoglycemia under controlled conditions but remain to be evaluated under daily-life conditions.

Objective: To assess the feasibility, safety, and efficacy of the MD-Logic AP in controlling nocturnal glucose levels in the patient's home.

Methods: Two-arm study, each covering four consecutive nights comparing the MD-Logic AP ('closed-loop' arm) with sensor-augmented pump therapy ('control' arm).

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Background: Tight glucose control is needed to prevent long-term diabetes complications; this is hindered by the risk of hypoglycemia, especially at night.

Objective: To assess the safety and efficacy of the closed-loop MD-Logic Artificial Pancreas (MDLAP), controlling nocturnal glucose levels in patients with type 1 diabetes mellitus (T1DM).

Research Design And Methods: This was a randomized, multicenter, multinational, crossover trial conducted in Slovenia, Germany, and Israel.

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Background: Recent studies have shown that an artificial-pancreas system can improve glucose control and reduce nocturnal hypoglycemia. However, it is not known whether such results can be replicated in settings outside the hospital.

Methods: In this multicenter, multinational, randomized, crossover trial, we assessed the short-term safety and efficacy of an artificial pancreas system for control of nocturnal glucose levels in patients (10 to 18 years of age) with type 1 diabetes at a diabetes camp.

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Objective: An artificial pancreas (AP) that automatically regulates blood glucose would greatly improve the lives of individuals with diabetes. Such a device would prevent hypo- and hyperglycemia along with associated long- and short-term complications as well as ease some of the day-to-day burden of frequent blood glucose measurements and insulin administration.

Research Design And Methods: We conducted a pilot clinical trial evaluating an individualized, fully automated AP using commercial devices.

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Background: Artificial pancreas systems may offer a potential major impact on the normalization of metabolic control and preventing hypoglycemic events. This study aims to establish near-normal overnight glucose control and reduce the risk of nocturnal hypoglycemia using the MD-Logic Artificial Pancreas (MDLAP), an algorithm that was developed by our research group. This inpatient feasibility study is the first step towards implementing an overnight closed-loop MDLAP system at the patient's home.

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Background: Applying real-time learning into an artificial pancreas system could effectively track the unpredictable behavior of glucose-insulin dynamics and adjust insulin treatment accordingly. We describe a novel learning algorithm and its performance when integrated into the MD-Logic Artificial Pancreas (MDLAP) system developed by the Diabetes Technology Center, Schneider Children's Medical Center of Israel, Petah Tikva, Israel.

Methods: The algorithm was designed to establish an initial patient profile using open-loop data (Initial Learning Algorithm component) and then make periodic adjustments during closed-loop operation (Runtime Learning Algorithm component).

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Repeated molting of the cuticula is an integral part of arthropod and nematode development. Shedding of the old cuticle takes place on the surface of hypodermal cells, which are also responsible for secretion and synthesis of a new cuticle. Here, we use the model nematode Caenorhabditis elegans to show that muscle cells, laying beneath and mechanically linked to the hypodermis, play an important role during molting.

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Objective: Current state-of-the-art artificial pancreas systems are either based on traditional linear control theory or rely on mathematical models of glucose-insulin dynamics. Blood glucose control using these methods is limited due to the complexity of the biological system. The aim of this study was to describe the principles and clinical performance of the novel MD-Logic Artificial Pancreas (MDLAP) System.

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