Publications by authors named "Marzena Wos"

Article Synopsis
  • * Key predictors for subclinical atherosclerosis included male sex, diabetic nephropathy, high HbA1c levels, older age, long diabetes duration, and tobacco use.
  • * The presence of subclinical atherosclerosis significantly increased the risk of major cardiovascular events and overall mortality, indicating a need for improved cardiovascular risk management in these patients.
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The Patient Empowerment through Predictive Personalized Decision Support (PEPPER) system provides personalized bolus advice for people with type 1 diabetes. The system incorporates an adaptive insulin recommender system (based on case-based reasoning, an artificial intelligence methodology), coupled with a safety system, which includes predictive glucose alerts and alarms, predictive low-glucose suspend, personalized carbohydrate recommendations, and dynamic bolus insulin constraint. We evaluated the safety and efficacy of the PEPPER system compared to a standard bolus calculator.

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Background: Delivering insulin in type 1 diabetes is a challenging, and potentially risky, activity; hence the importance of including safety measures as part of any insulin dosing or recommender system. This work presents and clinically evaluates a modular safety system that is part of an intelligent insulin dose recommender platform developed within the EU-funded PEPPER project.

Methods: The proposed safety system is composed of four modules which use a novel glucose forecasting algorithm.

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