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The Usability and Effect of a Novel Intelligent Rehabilitation Exergame System on Quality of Life in Frail Older Adults: Prospective Cohort Study.
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Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
Background: Aging in older adults results in a decline in physical function and quality of daily life. Due to the COVID-19 pandemic, the exercise frequency among older adults decreased, further contributing to frailty. Traditional rehabilitation using repetitive movements tends not to attract older adults to perform independently.
View Article and Find Full Text PDFMachine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer.
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Department of Industrial Engineering, UiT-The Arctic University of Norway, Narvik, Norway.
Background: Retail involves directly delivering goods and services to end consumers. Natural disasters and epidemics/pandemics have significant potential to disrupt supply chains, leading to shortages, forecasting errors, price increases, and substantial financial strains on retailers. The COVID-19 pandemic highlighted the need for retail sectors to prepare for crisis impacts on sales forecasts by regularly assessing and adjusting sales volumes, consumer behavior, and forecasting models to adapt to changing conditions.
View Article and Find Full Text PDFPredicting candidate biomarkers for COVID-19 associated with leukemia in children.
Am J Clin Exp Immunol
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Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.
Since the COVID-19 pandemic, a significant number of pediatric leukemia patients have shown to have also contracted COVID-19 several weeks or months prior to the development of their cancer. Current research indicates the expression of MDA5, encoded by , is associated with increased immunity to COVID-19 in children. Children are also known to have a much lower risk of developing leukemia.
View Article and Find Full Text PDFDeep learning models for CT image classification: a comprehensive literature review.
Quant Imaging Med Surg
January 2025
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Background And Objective: Computed tomography (CT) imaging plays a crucial role in the early detection and diagnosis of life-threatening diseases, particularly in respiratory illnesses and oncology. The rapid advancement of deep learning (DL) has revolutionized CT image analysis, enhancing diagnostic accuracy and efficiency. This review explores the impact of advanced DL methodologies in CT imaging, with a particular focus on their applications in coronavirus disease 2019 (COVID-19) detection and lung nodule classification.
View Article and Find Full Text PDFHealth and tuberculosis systems resilience, the role of the private sector and pandemic preparedness: insights from a cross-country qualitative study with policy-makers in India, Indonesia and Nigeria.
BMJ Glob Health
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School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
Introduction: The COVID-19 pandemic was an unprecedented challenge to health systems worldwide and had a severe impact on tuberculosis (TB) case notifications and service delivery. India, Indonesia and Nigeria are high TB-burden countries where the majority of initial care-seeking happens in the private health sector. The objectives of this study were to (1) explore policy-makers' perspectives on the impact of the COVID-19 pandemic on private sector TB service delivery in India, Indonesia and Nigeria and (2) identify cross-cutting insights for pandemic preparedness with respect to TB service delivery.
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