Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.
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December 2024
African research capacity is challenged by insufficient infrastructure to solicit and manage grants from local and international funding agencies. The manuscript provides an overview and discusses lessons learned about the pioneering role of the Mozambique Institute for Health Education and Research (MIHER) as the first research support center (RSC) in supporting the management of research grants in Mozambique, emphasizing its impact on research capacity development. Using mixed methods, data were comprehensively collected to identify MIHER's primary achievements from 2010 to 2023.
View Article and Find Full Text PDFThe SARS-CoV-2 coronavirus pandemic posed an unprecedented challenge to global health. In the context of an overwhelmed healthcare system and the rising demand for alternative strategies to manage stress and anxiety, this study aims to investigate and analyze the use of Integrative and Complementary Practices (ICP) in Brazil during the COVID-19 pandemic, emphasizing their importance in promoting health and well-being. We conducted a cross-sectional study among n = 12,136 Brazilian adults predominantly female, white, under 40 years of age and with a predominantly higher education level between August 24 and December 16, 2020, to assess the use of ICP.
View Article and Find Full Text PDFBackground And Objectives: Early detection of cognitive impairment is crucial for timely clinical interventions aimed at delaying progression to dementia. However, existing screening tools are not ideal for wide population screening. This study explores the potential of combining machine learning, specifically, one-class classification, with simpler and quicker motor-cognitive tasks to improve the early detection of cognitive impairment.
View Article and Find Full Text PDFThe occurrence of esophagitis and ingluvitis caused by Typhimurium in passerines seized from illegal wildlife trafficking is described. This illegal activity causes stress and leads to lowered immunity in the birds. Additionally, inadequate hygiene conditions predispose the birds to diseases such as salmonellosis.
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