We developed and externally validated a hierarchical deep learning pipeline that automates cervical sagittal measurements, explicitly addressing C7 obscuration on lateral radiographs. The model combines a global keypoint detector with C2/C7 specialis... read more
PURPOSE: Frailty is increasingly recognized as a predictor of poor surgical outcomes, yet its preoperative assessment in patients with non-small-cell lung cancer (NSCLC) remains challenging. This study aimed to develop and validate a high-performance... read more
IgA nephropathy (IgAN) and celiac disease (CeD) are autoimmune disorders characterized by dysregulated immune responses; however, the molecular mechanisms underlying their comorbidity remain incompletely understood. Here, we integrated transcriptomic... read more
Journal of chemical information and modeling
Feb 19, 2026
Accurately obtaining Protein-protein Interaction Sites (PPIS) information is crucial for understanding cell functions and drug development. In recent years, approaches based on Graph Neural Networks with a focus on local-global collaborative modeling... read more
Solar desalination holds promise for alleviating water scarcity but faces challenges in cold and low-light environments. Inspired by the environmental heat utilization and energy-storage capability of frost-resistant beetles, we designed a sandwich-s... read more
BACKGROUND: To investigate the radiomics features of the hippocampus and the amygdala subregions in FDG-PET images that can best differentiate Mild Cognitive Impairment (MCI), Alzheimer’s Disease (AD), and healthy patients. METHODS: Baseline FDG-PET ... read more
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