BACKGROUND AND AIMS: Artificial intelligence (AI) has been widely used in endoscopic diagnosis; however, an AI model capable of comprehensively diagnosing both diffuse and focal lesions remains lacking. This study aimed to develop an AI-based endosco... read more
Machine Learning (ML) and Artificial Intelligence (AI) are important tools for modelling drying processes to reduce moisture and preserve food products. This study investigated the drying performance of an industrial infrared conveyor belt drying sys... read more
Journal of epidemiology and global health
May 21, 2026
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome represents a primary contributor to global morbidity and mortality. Despite the Life's Essential 8 framework offering a comprehensive assessment of cardiovascular health (CVH), its prognostic... read more
Although protein engineering and laboratory evolution have been used to optimize prime editors, we show that previous changes that improve prime editor efficiency also compromise protein stability and expression level, limiting performance. To addres... read more
BACKGROUND: Rheumatoid arthritis (RA) is a chronic inflammatory disease marked by painful, progressive joint damage that leads to disability and a significant socioeconomic burden. Given the growing interest in data-driven healthcare, this study appl... read more
BACKGROUND: Imaging plays a fundamental and increasing role in the diagnostic work-up of pediatric patients. Non-invasive imaging methods include ultrasonography, X-ray, computed tomography (CT), and magnetic resonance imaging (MRI). The importance o... read more
Journal of imaging informatics in medicine
May 21, 2026
BACKGROUND: Commercial artificial intelligence (AI) software for cardiac magnetic resonance (CMR) analysis has shown promising internal validation results, but independent external validation in distinct clinical settings remains limited. This study ... read more
Benzo[a]pyrene (BaP), a polycyclic aromatic hydrocarbon from tobacco smoke, exhaust, and pollutants, is linked to bladder cancer (BLCA). We systematically analyzed GEO datasets to identify BaP-related differentially expressed genes (DEBRGs). By integ... read more
BACKGROUND: Rapidly growing transcriptomic datasets pose challenges for traditional analytical methods, which struggle with high dimensionality, heterogeneity, and nonlinear gene relationships. Existing deep learning models often require fixed-length... read more
Alterations in the gut microbiome have been increasingly implicated in Parkinson's disease (PD), but the associated metabolic changes remain incompletely understood. Here, we applied an integrative multi-omics approach combining shotgun metagenomic s... read more
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