Aerospace Center Hospital

Emerging role of cGAS-STING in the pathogenesis of allergic diseases

The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) signaling pathway, classically recognized as a crucial cytosolic DNA-sensing mechanism in innate antiviral immunity, is now emerging as a pivotal regulator of sterile inflammation and immune dysregulation. Re...

Phenotype evolution in post-COVID-19 chronic cough and prediction of pulmonary fibrosis risk: a longitudinal cohort study leveraging multi-omics integration and deep learning

Post-coronavirus disease 2019 (COVID-19) chronic cough (PCC) is a frequent sequela, affecting approximately 20–30% of patients beyond 8 weeks, with a subset progressing to pulmonary fibrosis (PF). Most existing studies rely on static indicators, which limits monitoring of dynamic...

Automated CT segmentation of diffuse pseudomyxoma peritonei lesions using a hybrid deep learning model

Abstract Purpose To develop and externally validate DATUnet—a hybrid deep learning framework integrating DenseBlock encoding, atrous spatial pyramid pooling (ASPP), and a lightweight Transformer bottleneck—for automated segmentation of diffuse pseudomyxoma peritonei (PMP) lesions...

Accuracy assessment of Chinese large language models in psoriasis management: a multicenter expert evaluation study

Psoriasis patients in China face severe barriers to disease knowledge acquisition and limited access to medical resources, creating an urgent demand for reliable, evidence-based patient education tools. This multicenter expert evaluation study aimed to systematically assess the q...

The association between personal hygiene and mental health, and the modifying roles of the universal health coverage index in children and adolescents: a comparative analysis from multiple countries

Background: Personal hygiene and mental health are both core determinants of adolescent well-being, yet their interplay and the modifying role of national health system coverage remain largely unexplored in cross-national populations. Therefore, we aimed to investigate associatio...

A multi-database machine learning approach to predict depression and frailty in elderly populations with chronic conditions

Depression and frailty frequently co-occur in older adults with chronic disease, significantly impairing physical and psychological health; however, their bidirectional association remains unclear. Data from four large population-based cohorts—CHARLS, HRS, KLOSA, and SHARE—were c...