Asthma Prediction Enhanced by Affinity Graph-Based Classifier: A Machine Learning Approach Using Routine Blood Biomarkers Background Asthma is a chronic respiratory disease that affects approximately 235 million people worldwide. According to the World Health Organization (WHO), the main characteristic of asthma is airway inflammation, leading to s...

Representation Learning of Lung Cancer Based on Graph Neural Networks Background Introduction With the rapid development of digital pathology, image-based diagnostic systems are becoming increasingly important in precise pathological diagnosis. These systems rely on Multiple Instance Learning (MIL) technology for Whole Slide Images (WSIs). However,...

Precise and Safe Lung Segmentectomy Enabled by Dual-Channel Near-Infrared Fluorescence Tumor and Pleural Demarcation Lung cancer is a leading cause of cancer-related deaths globally. Since the introduction of computed tomography screening, the early detection rate of lung cancer has greatly increased, significantly reducing mortality rates. Studies...

The SIRT1-Rab7 Axis Regulates NLRP3 and STING Activation in Sepsis-Induced Acute Lung Injury via Terminal Endosome-Dependent Mitophagy Academic Background Acute lung injury (ALI) is one of the leading causes of death in septic patients, primarily due to the pro-inflammatory changes and permeability defects in endothelial cells (ECs). Mitochondrial ...

Comprehensive Academic Report on a Scientific Paper In modern medicine, respiratory regulation is crucial for patients with respiratory dysfunction. However, currently used clinical positive pressure ventilators have issues such as long-term dependence and injury. While external auxiliary devices like the “iron lung” offer non-invasive alternatives...