The rapid rise of short videos (SVs), particularly social media-style formats characterized by rapid switching and fragmented content, has led to their increasing integration into learning environments. However, their efficacy and neurocognitive impa... read more
The discrepancy between serum triglyceride levels and the clinical severity of hyperlipidemic acute pancreatitis (HLAP) complicates risk stratification. Traditional lipidomics, which primarily rely on linear abundance, often fail to distinguish the H... read more
Heart failure (HF) following myocardial infarction (MI) remains a major threat to health worldwide. While transcriptomics has revealed numerous genes whose expression is altered in HF, distinguishing therapeutic targets remains challenging. In this s... read more
BACKGROUND: Recent advances in reasoning-enhanced large language models (LLMs) and multimodal LLMs (MLLMs) have significantly improved performance in complex tasks, yet medical AI models often overlook the structured reasoning processes inherent in c... read more
Mice are widely used as biomedical research models, yet results from mouse gene studies often differ from equivalent studies in humans despite similarities in DNA sequences. Here we show that gene expression patterns provide additional insight into h... read more
Early identification of emerging dominant variants of pathogens such as SARS-CoV-2 is important for effective public health responses, yet existing approaches are not feasible for real-time surveillance. Here we introduce DeepCoV (DMS-Empowered Evolu... read more
Journal of exposure science & environmental epidemiology
May 27, 2026
BACKGROUND: Environmental exposures are known contributors to chronic disease but are rarely incorporated into risk prediction models. OBJECTIVE: We demonstrate a staged machine learning approach to incorporating geospatially measured neighborhood so... read more
In controlled proof-of-concept studies, healthcare artificial intelligence (AI) systems now routinely match or exceed specialist-level performance. Despite these impressive technical achievements, most systems remain confined to research settings, hi... read more
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