Lack of intracranial atherosclerosis in various atherosclerotic mouse models.

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.

Engaging dystonia networks with subthalamic stimulation.

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.

Utilization and quality of primary and specialized palliative homecare in nursing home residents vs. community dwellers: a claims data analysis.

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.

Artificial intelligence is beginning to create value for selected small animal veterinary applications while remaining immature for others.

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.

Pathway to care, treatment and disease burden of pulmonary arterial hypertension: a real-world survey of physicians and patients in Latin America.

Objectives: To investigate clinical characteristics, symptom profile, testing practices, treatment patterns and quality of life (QoL) among patients with pulmonary arterial hypertension (PAH) in Latin America.

Design: Data from the Adelphi Real World PAH Disease Specific Programme, a cross-sectional survey with retrospective data collection.

Setting: University/teaching hospital, regional centres, private practices and government institutions in Argentina, Brazil, Colombia and Mexico.