Southwest Medical University

A Cross-Sectional Study of Short-Video Viewing and Young Adult Health: Dose–Response Relationships with Sleep, Dream Anxiety, Ocular Surface, and Quality of Life

Background: Short-video platforms (e.g., Douyin, TikTok) have gained immense popularity among young adults, yet their addictive potential and health consequences remain understudied. Unlike gaming addiction, which has been linked to myopia and mental distress, short-video viewing...

Apigenin Alleviates Ligamentum Flavum Ossification by Dual-Targeting CA9 and CDK6 and Modulating Calcium/PI3K–Akt Signaling

While apigenin shows therapeutic potential for bone-related disorders like osteoporosis and osteoarthritis, its mechanisms in regulating ligamentum flavum ossification (OLF) are unclear. An integrated computational strategy combining network pharmacology, machine learning, and mo...

Comparison of three interpretation criteria for [⁶⁸Ga]Ga-DOTATATE PET/CT in suspected pheochromocytoma and paraganglioma of the adrenal gland or retroperitoneal space

Pheochromocytomas and paragangliomas (PPGLs) frequently overexpress somatostatin receptor subtype 2 (SSTR2), making [ 68 Ga]Ga-DOTATATE PET/CT a promising functional imaging modality. However, the optimal interpretation criteria for distinguishing PPGL from non-PPGL lesions in cl...

Pre-service sex education training and teaching practices among special education teachers: a cross-sectional survey

This study aimed to determine the current status of school-based sex education for children with disabilities (SECD) in Sichuan Province and to examine the association between pre-service sex education learning experience and SECD practice. A stratified random cluster sampling wa...

Uncertainty-inspired open-set model for identifying infantile fundus abnormalities

Accurate and safe identification of infantile fundus abnormalities is critical for large-scale screening, yet remains challenging because of heterogeneous disease presentations and overconfident predictions by conventional artificial intelligence (AI) models. In this study, we ai...

CardioGraphFormer based automated cardiomegaly detection from chest radiographs using graph-enhanced deep learning

Cardiomegaly, or enlargement of the heart, is a serious condition that often indicates underlying cardiovascular disease. Early detection is important because delayed diagnosis can lead to severe complications, including heart failure and increased mortality. Chest X-ray imaging...

A Multimodal large language model-based triage tool for osteoporotic vertebral compression fractures using posture and movement videos

Osteoporotic vertebral compression fracture (OVCF) is common yet frequently underdiagnosed due to nonspecific symptoms and limited access to definitive imaging. We developed a two-stage screening framework that integrates prompt-guided multimodal large language model (LLM) featur...

Integrative network toxicology and computational modeling uncover the mechanism of aflatoxin B1-induced nephrotoxicity

Aflatoxin B1 (AFB1) is a highly toxic mycotoxin that causes severe renal injury, yet the molecular basis of its nephrotoxicity remains poorly defined. Here, we integrated multi-omics data with computational modeling to elucidate the mechanisms of AFB1-induced kidney damage. Three...