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European agrifood and forestry education for a sustainable future - Gap analysis from an informatics approach.
Open Res Eur
October 2024
Department of Process and Life Science Engineering, Division of Food and Pharma, LTH, Faculty of Engineering, Lund University, Lund, Skåne County, SE-221 00, Sweden.
Background: The NextFood Project ( www.nextfood-project.eu) started work in 2018 to identify 'Categories of Skills' that students should be equipped with to address the upcoming global challenges within agrifood and forestry disciplines, and involved concepts such as sustainability, technological adaptation and networking.
View Article and Find Full Text PDFAssessing Nurses' Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice.
Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
Aim: To assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
A qualitative study on general practitioners' perspectives on late-life depression in Singapore-part II: system- and physician-related factors.
Lancet Reg Health West Pac
January 2025
Department of Medicine, National University of Singapore, Yong Loo Lin School of Medicine, Singapore, Singapore.
Background: Little is known about the practices and resources employed by general practitioners (GPs) in Singapore to manage late-life depression. As the country is stepping up its efforts to promote collaborative care across community mental health and geriatric care, understanding GPs' current practices when managing late-life depression appears timely.
Methods: This qualitative descriptive study explored the perspectives on late-life depression of 28 private GPs practicing in Singapore through online semi-structured group and individual interviews.
Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.
Int J Chron Obstruct Pulmon Dis
January 2025
Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.
Background: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Methods: In this single centre study, non-consecutive COPD patients were prospectively recruited for comparing their speech characteristics during and after an acute COPD exacerbation.
Prognostic value of TIMI risk score combined with systemic immune-inflammation index and lipoprotein(a) in patients with ST-Segment elevation myocardial infarction after percutaneous coronary intervention.
Int J Cardiol Heart Vasc
February 2025
Department of Cardiology, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou 225000, China.
Background: Thrombolysis in Myocardial Infarction (TIMI) risk score in patients with ST-segment elevation myocardial infarction (STEMI) is associated with major adverse cardiovascular events (MACE). This study aimed to develop a prediction model based on the TIMI risk score for MACE in STEMI patients after percutaneous coronary intervention (PCI).
Methods: We conducted a retrospective data analysis on 290 acute STEMI patients admitted to the Affiliated Hospital of Yangzhou University from January 2022 to June 2023 and met the inclusion criteria.
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