BACKGROUND: Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saharan Africa. Diagnosis traditionally relies on urine microscopy to detect parasite eggs; however, its sensitivity declines in low-intensity infections.... read more
Rapid advancements in technology enables the measurement of multimodal data at single-cell resolution, but with emerging modalities that are characterized by weak correlations with other modalities. Several computational approaches attempt to integra... read more
Based on functional connectivity (FC) matrices derived from resting-state functional magnetic resonance imaging (rs-fMRI) data, graph neural networks (GNNs), as an advanced deep learning technique, have been widely applied in major depressive disorde... read more
BACKGROUND: Atherosclerosis (AS) is a major global health burden. Sodium nitrite, a common environmental and dietary contaminant, has been implicated in promoting AS, but its systematic molecular mechanisms remain unclear. METHODS AND RESULTS: To add... read more
BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical knowledge assessments; however, their accuracy within high-acuity, guideline-driven surgical environments such as the trauma bay remains incompletely chara... read more
International journal of surgical pathology
May 5, 2026
Hirschsprung disease (HD) is a congenital disorder characterized by the absence of ganglion cells in the colonic nervous plexuses, resulting in bowel obstruction and various complications. The diagnosis of HD demands expertise, experience, and ancill... read more
The discovery of new 2D materials is vital for advancing electronics and quantum technologies. As most 2D materials originate from layered bulk structures, identifying exfoliable crystals and estimating the energy required to isolate a single layer a... read more
Artificial intelligence (AI)-generated content on glucagon-like peptide-1 receptor agonists (GLP-1RAs) gave informationally detailed responses, but its readability remains suboptimal for many patients. Incorporating literacy-sensitive design principl... read more
BACKGROUND: The growing integration of artificial intelligence (AI) in higher education has transformed learning processes but also raised concerns about potential mental health risks. Medical students represent a particularly vulnerable group due to... read more
BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cause of maternal death in the United States. Professional societies emphasize the need to identify those at risk of developing perinatal depression to b... read more
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