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Diversity in Cardiovascular Care: Advancing Health Equity.
Br J Hosp Med (Lond)
December 2024
School of Nursing and Midwifery, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
Health inequities exist in cardiovascular care and outcomes, especially among women, older people, individuals from racial and ethnic minorities, lower income and rural communities often those most vulnerable to adverse health outcomes. Such diverse groups form most of the patient population but they are rarely reflected in the composition of the cardiovascular care workforce. Yet a diverse cardiovascular health care workforce can enhance access to care, reduce health disparities and inequities, and improve quality of care and research for such underserved populations.
View Article and Find Full Text PDFEmbracing diversity and inclusivity in nursing: challenges and opportunities for transgender and intersex individuals in Pakistan.
J Pak Med Assoc
January 2025
Dow Institute of Nursing and Midwifery, Dow University of Health Sciences, Karachi, Pakistan.
Patterns of drug combinations used by men who have sex with men in Brazil.
Braz J Psychiatry
January 2025
Department of Psychiatry and Medical Psychology, Paulista School of Medicine, UNIFESP, São Paulo, SP, Brazil.
Background: The practice of using drugs to modulate experiences is a well-documented phenomenon worldwide, particularly among men who have sex with men (MSM). This study aims to describe patterns of drug combinations used by Brazilian MSM, embracing a detailed examination of the Brazilian context, which may inspire research elsewhere while enriching the global panorama on MSM drug use. By focusing on Brazilian MSM, the study sheds light on specific drug use combinations, which may help in the development of effective, culturally sensitive public health strategies.
View Article and Find Full Text PDFCarbon neutrality: Synergy for energy transition, circular economy and inclusive green growth.
J Environ Manage
January 2025
Indian Institute of Management Bodh Gaya (IIM Bodh Gaya), Uruvela, Prabandh Vihar, Bodh Gaya, 824234, Gaya, Bihar, India. Electronic address:
The relentless surge in carbon emissions is exacting a devastating toll on human wellbeing, critical infrastructure, and natural ecosystems, leaving a stark and distressing legacy of destruction. Communities worldwide are reeling from the impacts of pervasive smog, record-breaking wildfires, and deadly heatwaves-manifestations of a climate crisis that grows more severe by the day. Once a vanguard of environmental policy, the Organisation for Economic Co-operation and Development (OECD) now struggles with exceeding emissions targets, eroding its credibility and influence.
View Article and Find Full Text PDFTechniques for learning and transferring knowledge for microbiome-based classification and prediction: review and assessment.
Brief Bioinform
November 2024
Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan 430074, Hubei, China.
The volume of microbiome data is growing at an exponential rate, and the current methodologies for big data mining are encountering substantial obstacles. Effectively managing and extracting valuable insights from these vast microbiome datasets has emerged as a significant challenge in the field of contemporary microbiome research. This comprehensive review delves into the utilization of foundation models and transfer learning techniques within the context of microbiome-based classification and prediction tasks, advocating for a transition away from traditional task-specific or scenario-specific models towards more adaptable, continuous learning models.
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