OBJECTIVES: To develop and validate a machine learning (ML) model for classifying tear film lipid layer (TFLL) patterns from self-acquired smartphone-based interferometer (SBI) images and evaluate its applicability to dynamic TFLL monitoring outside ... read more
Heart failure (HF) is a chronic condition characterized by high morbidity and mortality worldwide, imposing a substantial burden on healthcare systems. In recent years, artificial intelligence (AI) technologies, including machine learning, deep learn... read more
BACKGROUND: Repetitive negative thinking (RNT) and neuroticism are risk factors for internalizing psychopathology. However, their interaction has only been investigated at the self-report level, and studies elucidating their interrelationship at the ... read more
The respiratory system constitutes the primary interface between the human body and the external environment, demonstrating particular vulnerability to chemical toxicants through diverse exposure routes. Current regulatory frameworks face significant... read more
The quasi-isentropic loading method based on multidimensional gradient structures plays a critical role in acquiring dynamic physical parameters and significantly enhances the service safety of materials. This study proposes a physics-guided machine ... read more
The International journal of neuroscience
Mar 5, 2026
Spinal cord injury (SCI) is a major global health issue with severe complications, yet effective biomarkers remain elusive. We analyzed the GSE226238 dataset from the GEO database and identified 4,621 differentially expressed genes (DEGs) between SCI... read more
The development of epidermal sensors that integrate high mechanical strength, excellent sensing performance, self-healing capability, and monitoring and therapeutic functions into conductive hydrogels remains a major challenge. In response to this ch... read more
Coal combustion is a major source of CO2 emissions, making accurate carbon quantification essential for emission assessment and mitigation. This study proposes a trimodal fusion prediction system for carbon estimation, which integrates multienergy la... read more
OBJECTIVE: Pheochromocytoma and paraganglioma (PPGL) have high genetic predisposition rates. In this multicenter study, we aimed to identify risk-modulating factors for disease development and aggressiveness in patients carrying pathogenic variants (... read more
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