Using Large Language Models to Assess Public Perceptions Around Glucagon-Like Peptide-1 Receptor Agonists on Social Media

Information Science, Computer Science, Artificial Intelligence, Medicine, Environmental and Public Health, Endocrinology, Cardiovascular System,
Obesity   Glucagon-like Peptide-1 Receptor Agonists   Social Media   Public Perception   Natural Language Processing  

In the global context, the prevalence of obesity is on the rise, bringing significant impacts to public health. Obesity is independently associated with the incidence and mortality of cardiovascular diseases, with an estimated economic burden exceeding $200 billion annually for healthcare systems. In recent years, glucagon-like peptide-1 (GLP-1) re...

Cell Type Mapping of Inflammatory Muscle Diseases Highlights Selective Myofiber Vulnerability in Inclusion Body Myositis

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
Inflammatory Myofibers   Inclusion Body Myositis   Single-Nucleus RNA Sequencing   Spatial Transcriptomics   Myopathy   Cell Type   Gene Expression  

Characterization of Heterogeneity in Muscle Fiber Types and Selective Susceptibility in Inclusion Body Myositis With advancing age, the incidence of inflammatory myopathies gradually increases, among which inclusion body myositis (IBM) is the most common type, currently lacking effective treatment methods. Unlike other inflammatory myopathies, IBM ...

Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning

Information Science, Artificial Intelligence, Medicine, Pediatrics, Medical Imaging, Oncology,
multitask learning   pediatric low-grade gliomas   MRI   tumor segmentation   deep learning  

Improved Segmentation of Pediatric Low-Grade Gliomas Through Multitask Learning Background Introduction The segmentation of pediatric brain tumors is a critical task in tumor volume analysis and artificial intelligence algorithms. However, this process is time-consuming and requires the expertise of neuroradiologists. Although significant research ...

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features from Multiparametric MRI Images

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology,
glioma grade   radiomics   intratumoral volumes   peritumoral volumes   multiparametric MRI   noninvasive  

“Prediction of Glioma Grades Based on Radiomic Features Inside and Outside Tumors Using Multiparametric MRI Images” Research Background Glioma is the most common primary brain tumor in the central nervous system, accounting for 80% of adult malignant brain tumors. In clinical practice, treatment decisions often require individualized adjustments ba...

Self-Attention Similarity Guided Graph Convolutional Network for Multi-type Lower-Grade Glioma Classification Research

Self-Attention Similarity Guided Graph Convolutional Network for Multi-type Lower-Grade Glioma Classification Research

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
low-grade glioma   brain tumor classification   3D brain MRI   graph convolutional network   self-attention  

Graph Convolutional Network Based on Self-Attention Similarity for Multi-type Low-Grade Glioma Classification 1. Research Background Low-grade glioma is a common malignant brain tumor caused by the cancerous transformation of glial cells in the brain and spinal cord. Gliomas are characterized by high incidence, high recurrence rate, high mortality ...

AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading

AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading

Information Science, Artificial Intelligence, Medicine, Neurosurgery, Medical Imaging, Oncology,
Artificial Intelligence   Radiomics   Magnetic Resonance Imaging   Brain Tumors   Computer-Aided Diagnosis   Image Segmentation   Glioma Grading  

AI-Assisted Radiomics Algorithm for Glioma Grading Based on Slice Pooling Background Introduction Glioma is the most common and threatening tumor in the central nervous system, characterized by high incidence, high recurrence rates, high mortality, and low cure rates. The World Health Organization (WHO) classifies gliomas into four grades (I, II, I...