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Study of blood flow patterns in a stenosed artery through the combined effect of body acceleration and generalized womersley solution.
Sci Rep
January 2025
Computational Fluid Dynamics Laboratory, School of Mechanical Engineering, VIT, Vellore, 632014, India.
Stenosis causes the narrowing of arteries due to plaque buildup, which impedes blood flow and affects flow dynamics. This work numerically analyzes flow fluctuations in stenosed arteries under realistic physiological conditions (resting and exercise) and external body acceleration. The artery is inclined at angle , and blood rheology is modeled using a generalized power-law fluid.
View Article and Find Full Text PDFPatients' Health-Related Quality of Life and Use of Medicinal Cannabis: A Cross-Sectional Survey Study.
Drugs Real World Outcomes
January 2025
Research Unit of General Practice, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.
Background: Studies on medicinal cannabis (MC) have primarily investigated effects on diseases and symptoms, while there is only sparse knowledge on patients' health-related quality of life. Our aim was, firstly, to compare the health-related quality of life of patients (MC users and non-users) within four specified diagnostic indications (multiple sclerosis, paraplegia, neuropathy, and nausea and vomiting after chemotherapy) with that of patients with other diagnostic indications (MC users only) and the adult population (non-users only). Secondly, we estimate the associations between use of MC and health-related quality of life for patients in the four specified diagnostic indications.
View Article and Find Full Text PDFLeveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.
Drug Saf
January 2025
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Background: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence of their real-world effectiveness remains unclear.
Objective: To summarise the evidence on the effectiveness of NLP/ML in detecting ADEs from unstructured EHR data and ultimately improve pharmacovigilance in comparison to other data sources.
Background: Measuring palliative care quality requires the application of evaluation methods to compare clinically meaningful groups of patients across different settings. Such protocols are currently lacking in Poland. The Australian Palliative Care Outcome Collaboration (PCOC) concept of Palliative phases precisely defines patients, enables episodes of care extraction for benchmarking and further assessment of service delivery.
View Article and Find Full Text PDFDevelopment of a web-based tool to assess daily rating of perceived exertion in agility dogs.
Front Vet Sci
December 2024
Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.
Objective: To develop a web-based tool for daily use by agility handlers to log rating of perceived exertion (RPE) for dogs as an aid in quantifying daily exercise and training load and to improve training and conditioning strategies.
Procedures: Focus group meetings with small groups of handlers were conducted via internet-based video conferencing using a semi-structured interview format. Meeting notes were coded for reflexive thematic analysis.
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