Publications by authors named "Eichinger V"

Article Synopsis
  • State-of-the-art diabetes self-management tools, like Bolus Calculators, require ongoing evaluation for safety and effectiveness even after they hit the market, beyond what's possible in clinical trials.
  • The study uses innovative methods such as human factor engineering and real-world data analysis to gather user-centric evidence to improve the bolus calculator.
  • The results show a significant decrease in hypoglycemic events, higher patient satisfaction with diabetes treatment, and increased acceptance of bolus calculations, highlighting the need for continuous product improvement.
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Background: Diabetes self-management is a mainstay of diabetes care, but the implementation of self-management regimens into daily life is complex and often results in discouragement and distress. Modern approaches such as smartphone-based self-management applications are therefore needed to support people with diabetes. Since reimbursability would increase the availability of such digital applications to people with diabetes, we designed a study that meets all scientific and methodological requirements set by the German Digital Healthcare Act to allow reimbursement for a specific application (mySugr PRO).

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Protein secretion systems play a key role in the interaction of bacteria and hosts. EffectiveDB (http://effectivedb.org) contains pre-calculated predictions of bacterial secreted proteins and of intact secretion systems.

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The correlation between serum levels and degree of amnesia following 0.03 mg/kg lormetazepam or 0.02 mg/kg flunitrazepam was analysed in a prospective randomised single-blind study evaluating 20 patients with ASA classification I in each group.

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