BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need for improved early detection strategies. This review examines the evolution of electrocardiographic assessment in PH diagnosis, from traditional crite... read more
Cis-regulatory elements (CREs) are key determinants of gene expression underlying complex agronomic traits. However, accurately identifying CREs in crops with large and highly repetitive genomes (such as upland cotton) remains extremely challenging. ... read more
Journal of thrombosis and haemostasis : JTH
Jan 14, 2026
BACKGROUND: Emerging evidence suggests that platelet activation and aggregation are common factors in both metabolic syndrome (MetS) and severe COVID-19, emphasizing the need to investigate their biological connection. OBJECTIVES: We hypothesized tha... read more
Accurately capturing long-range interactions is critical for molecular dynamics simulations based on machine learning interatomic potentials. We recently proposed the sum-of-Gaussians neural network (SOG-Net), which learns long-range energy contribut... read more
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 14, 2026
Accurate segmentation of diverse histological entities is fundamental in computational pathology and critical for clinical diagnosis. Advances in microscopic imaging provide complementary information, particularly microscopic hyperspectral images (MH... read more
Cryo-electron microscopy (cryo-EM) has become an essential technique for resolving the three-dimensional structures of biological macromolecules, where accurate particle picking is a critical prerequisite for high-resolution reconstruction. Despite r... read more
AIM: Comprehensive evaluation of randomized and non-randomized controlled trials (RCTs and NRCTs, respectively) on the effectiveness of AI-driven conversational agents in nursing education. BACKGROUND: AI-based conversational agents are innovative ed... read more
Biochemical and biophysical research communications
Jan 14, 2026
Discovering novel molecules that effectively interact with target proteins remains a time-consuming and costly challenge in drug development. Current machine learning approaches are typically limited to single-task settings and cannot simultaneously ... read more
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