Background In 2023, the WHO recommended prioritising treatment for moderately wasted children with higher risk ...
Introduction Community health workers (CHWs) are central to primary healthcare (PHC) delivery and infectious disease control ...
Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
Introduction Tribal people in India face a growing risk of multimorbidity, primarily from cardiovascular diseases (CVD) due to changing lifestyles and unique socio-cultural and political factors. We ...
Organizations still running agentic pilots on top of legacy warehouses are behind on the infrastructure required to make AI ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...
Objective This study aims to explore disparities in eHealth literacy and perspectives on digital health among parents of ...
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