Alzheimer's disease (AD) involves proteostasis dysregulation causing protein misfolding, but whether these structural changes manifest as plasma conformational biomarkers remains unclear. We profiled plasma protein structures from 520 participants in... read more
Artificial intelligence holds transformative potential for clinical triage, yet challenges in accuracy, generalization, and interpretability persist. To address these gaps, we introduce MedTriage, a benchmark designed to evaluate large-scale models a... read more
Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with peripheral inflammatory conditions such as chronic periodontitis (CP); however, the molecular mechanisms linking these conditions remain poorly understo... read more
Manual processing of spinal CTA images for detecting dural arteriovenous fistulas (SDAVF) is laborious and operator-dependent. We developed an automated AI system (SDAVFdoc) that integrates a 3D convolutional neural network with anatomical prior know... read more
We present a unified, compute-accounted comparison of seven pipelines for compound facial-expression recognition on RAF-DB: two classical hybrids (ResNet50-SVM, VGGFace-SVM), two modern baselines (EfficientNetV2-S, ViT-B/16), and three quantum-enhanc... read more
This study evaluated the performance of four large language model based chatbots (LLMs) (ChatGPT-4.0, ChatGPT o1-preview, Gemini, and Meta AI) as decision-support systems for interpreting histopathologic descriptions of oral lesions, assessing agreem... read more
Edge-cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-demand resource allocation. In scenarios with heterogeneous deadlines and varying workloads, SLA complian... read more
Recent advancements in Convolutional Neural Networks (CNNs), combined with the growing adoption of farm-applicable Internet of Things (IoT) devices, have expanded the application of precision agriculture in mango orchards. The Smart Mango Orchard can... read more
STUDY DESIGN: Bioinformatics analysis. OBJECTIVES: To explore the diagnostic signatures for patients with spinal cord injury (SCI). SETTING: Shenyang, China. METHODS: After DEGs screening, WGCNA was employed to screen the SCI-related genes. Then the ... read more
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