Publications by authors named "G P Meyer"

Background: Living Labs, as a type of academic-practice partnerships, possess the potential to transform care and research into a participatory partnership and narrow the research-practice gap to improve evidence-based and Person-centred care. Given the lack of systematic investigations of Living Labs in healthcare, we will establish a dementia-specific academic-practice partnership (Living Lab Dementia) in Germany and conduct a process evaluation. The aim of this study is to gain insights into the intervention itself (mechanisms of impact) and its implementation process (degree of implementation, barriers, and facilitators).

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Background: Although mice are used extensively to study atherosclerosis of different vascular beds, limited data is published on the occurrence of intracranial atherosclerosis. Since intracranial atherosclerosis is a common cause of stroke and is associated with dementia, a relevant animal model is needed to study these diseases.

Methods And Results: We examined the presence of intracranial atherosclerosis in different atherogenic mouse strains and studied differences in vessel wall characteristics in mouse and human tissue in search for possible explanations for the different atherosclerotic susceptibility between extracranial and intracranial vessels.

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Deep brain stimulation is an efficacious treatment for dystonia. While the internal pallidum serves as the primary target, recently, stimulation of the subthalamic nucleus (STN) has been investigated. However, optimal targeting within this structure and its surroundings have not been studied in depth.

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Background: There are hardly any data on the extent to which nursing home residents are provided with palliative homecare. We want to add evidence by comparing nursing home residents (who had been living in a nursing home for at least one year) and nursing-care-dependent community dwellers in terms of utilization and quality of palliative homecare.

Methods: We conducted a population-based study with nationwide claims data from deceased beneficiaries of a large German health insurance provider.

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Artificial intelligence is a powerful technology with great potential to support veterinarians across many aspects of their multifaceted job. However, realizing this potential requires AI solutions that truly address specific pain points. Here we review 4 use cases in which AI has been applied to small animal veterinary medicine: image analysis, early disease detection, administration support, and disease surveillance.

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