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Abstract Background EUPATI Spain and EURORDIS have implemented a patient engagement model in health product research and development (R&D): international, independent Community Advisory Boards (CABs), where patients coll...

Abstract Background There has been a recent push for biomedical research to incorporate more demographically, ethnically, and medically diverse cohorts – individuals whom the NIH designates as “underrepresented in bi...

Abstract Background Health assessment instruments are essential for individual health monitoring, yet most existing tools rely on periodic surveys and lack the capacity to integrate large-scale digital health data. With ...

Abstract Background Despite over a 25% national decline in opioid overdose deaths in 2024, overdose remains a leading cause of mortality in the U.S., with persistent regional disparities. Illinois, for example, reported ...

Abstract Background Research capacity building programs facilitate clinician engagement with best-practice research. Benefits of research capacity in healthcare locations are far reaching, including individual community ...

Abstract Background This study evaluates the impact of the SOCAV program on promoting self-direction of individuals with dementia in nursing homes and examines the behavioral changes in care staff when trained and coache...

Abstract Background Our research team has used the highly cited Consolidated Framework for Implementation Research (CFIR) a priori throughout the research process to better understand influences on implementation outcome...

Abstract Background The reuse of health data is critical for advancing health research, yet it raises complex ethical, legal, and societal challenges. In the European Union, the recently adopted European Health Data Spac...

Abstract Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rathe...

Abstract Background As there are no recommendations on handling missing values in a dichotomous index test of a diagnostic study, researchers often ignore missing values in the analysis or use simple methods. Thus, this ...

Abstract Background Suicide rates among U.S. preteens (ages 8–12) have risen steadily since 2008, signaling a growing crisis in children’s mental health. Sexual and gender diverse (SGD) preteens are at especially hig...

Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Abstract Background Single-cell RNA sequencing (scRNA-seq) is considered a revolution in gene expression studies and offers significant benefits across various fields of biomedical or clinical applications. However, a hi...

Abstract Background Receiver Operating Characteristic (ROC) analysis is commonly used to evaluate how well biomarkers distinguish between diseased and non-diseased individuals. A very important step in this process is ch...

Abstract Introduction Quantitative bias analysis (QBA) methods have been developed, with growing applications to epidemiological studies. Bayesian QBA (BQBA) methods may be superior in effectively using evidence-based pr...