While there are enormous bodies of literature that separately address adult learning theory and HIV disease education, there is a scarcity of literature that examines the way adult learning theory and education about HIV disease intersect. The author's focus is on successful, creative methods of combining these bodies of information in order to provide continuing education for health professionals. A review of the literature combined with the reported experience of AIDS Education and Training Centers (AETCs) from across the country identify useful strategies for successful HIV education.
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http://dx.doi.org/10.1016/S1055-3290(96)80002-1 | DOI Listing |
Front Cell Infect Microbiol
January 2025
Department of Clinical Laboratory Medicine Center, Inner Mongolia Autonomous Region People's Hospital, Hohhot, Inner Mongolia, China.
Introduction: This study aims to utilize proteomics, bioinformatics, and machine learning algorithms to identify diagnostic biomarkers in the serum of patients with acute and chronic brucellosis.
Methods: Proteomic analysis was conducted on serum samples from patients with acute and chronic brucellosis, as well as from healthy controls. Differential expression analysis was performed to identify proteins with altered expression, while Weighted Gene Co-expression Network Analysis (WGCNA) was applied to detect co-expression modules associated with clinical features of brucellosis.
Front Cardiovasc Med
January 2025
Department of Artificial Intelligence and Informatics, Mayo Clinic, Jacksonville, FL, United States.
Background: Effective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events. Traditional prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predictive accuracy within predetermined timeframes. This study introduces a new contrastive learning-based approach to enhance prediction efficacy over multiple time intervals.
View Article and Find Full Text PDFFront Psychiatry
January 2025
Department of Psychology, Faculty of Social Sciences, Universidad Central "Marta Abreu" de Las Villas, Santa Clara, Villa Clara, Cuba.
Introduction: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificial intelligence (AI) with the depth of neuropsychological assessments is needed.
Objectives: This paper presents a novel protocol for AI-assisted neurocognitive assessment aimed at addressing the cognitive, emotional, and functional dimensions of older adults with psychiatric disorders.
Front Public Health
January 2025
Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background And Aim: Changes in cognitive function are commonly associated with aging in patients with cardiovascular diseases. The objective of this research was to construct and validate a nomogram-based predictive model for the identification of cognitive impairment in older people suffering from cardiovascular diseases.
Methods And Results: This retrospective study included 498 participants with cardiovascular diseases aged >60 selected from the NHANES 2011-2014.
Gates Open Res
January 2025
Barbados Family Planning Association, Bridgetown, Saint Michaels, Barbados.
Effective contraceptive education is essential to reducing unwanted pregnancy, increasing uptake of modern contraceptive methods, and thoughtfully planning desired births. New World Health Organization (WHO) and family planning organization guidelines recommend situating contraceptive education and counseling within a broader context of self-care that emphasizes individual agency and reproductive empowerment. Digital health interventions, and games for health specifically, have been validated as effective and scalable tools for self-guided and interactive health education, especially among younger tech-savvy individuals.
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