Background: Antimicrobial resistance (AMR) is a major threat in pediatric intensive care units (PICUs). Data on resistance patterns in non-neonatal pediatric cohorts in Ethiopia remain scarce. This st...
Background Hip fractures in elderly patients are associated with high morbidity and mortality. Simple and reliable prognostic biomarkers are needed to guide perioperative management. Hemoglobin–Albumi...
Background Acquired immunodeficiency syndrome (AIDS) remains a major global public health challenge despite substantial advances in combination antiretroviral therapy (cART). Understanding factors ass...
Background Given that machine learning is one of the most effective approaches for identifying disease risk factors, this study aimed to explore the predictors of preeclampsia through machine learning...
Obesity-related metabolic disease is linked to impaired adipose tissue function, but the underlying molecular programs are difficult to assign to specific adipose-resident cell types, to mechanistical...
Background Functional decline and activity limitation are important indicators of health status among older adults and are associated with reduced independence, poorer quality of life, and increased h...
Introduction: Trachomatous trichiasis(TT) is eye disease caused by repeated infection of bacteria called Chlamydia trachomatis. It affects the health and quality of life of the family and a community ...
Introduction Noroviruses is a major cause of outbreaks and sporadic acute gastroenteritis (AGE) across all age groups. Although the GII.4 norovirus has been the primary cause of most AGE outbreaks, No...
This work takes a step toward Automated Machine Learning (AutoML) by moving beyond the traditional black-box approach often seen in engineering applications of neural networks. The primary objective i...
This study examines AI information literacy among healthcare professionals and identify differences across professional roles. An online survey was administered to 390 healthcare professionals includi...
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