Neutrophils Physically Interact with Tumor Cells to Form a Signaling Niche Promoting Breast Cancer Aggressiveness

Medicine, Oncology, Life Sciences,
Neutrophils   Breast Cancer   Signaling Niche   Tumor Microenvironment   Single-Cell RNA Sequencing  

Academic Background Breast cancer is one of the most common malignant tumors among women worldwide, with a complex pathogenesis involving interactions among multiple cell types and signaling pathways. In recent years, the role of the tumor microenvironment (TME) in cancer progression has gradually gained attention. Neutrophils, as an essential comp...

A New Similarity Measure for Picture Fuzzy Sets and Its Various Applications

Mathematics, Information Science, Computer Science, Artificial Intelligence, Medicine,
fuzzy set   intuitionistic fuzzy set   picture fuzzy set   similarity measure   pattern analysis   multicriteria decision-making  

Academic Background In fields such as decision analysis, pattern recognition, and medical diagnosis, fuzzy set theory provides essential mathematical tools for handling uncertainty and ambiguity. Traditional fuzzy sets (Fuzzy Set, FS) and intuitionistic fuzzy sets (Intuitionistic Fuzzy Set, IFS) have certain limitations when dealing with complex da...

EPDTNet + -EM: Advanced Transfer Learning and Subnet Architecture for Medical Image Diagnosis

Information Science, Artificial Intelligence, Medicine, Medical Imaging,
medical image classification   enhanced exponential transfer learning   parallel subnet (PSNet +)   explainable AI (XAI)   feature extraction   abnormality detection   computational efficiency  

Academic Background In today’s healthcare environment, medical imaging plays a crucial role in disease diagnosis, treatment planning, and health management. However, traditional medical image analysis methods face numerous challenges, such as overfitting, high computational costs, limited generalization capabilities, and issues related to noise, si...

Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging,
Electroencephalogram   Dementia   Alzheimer's Disease   Frontotemporal Dementia   Short-Time Fourier Transform   Convolutional Neural Networks  

Background Introduction Dementia is a global health issue that significantly impacts patients’ quality of life and places a substantial burden on healthcare systems. Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD) are two common types of dementia, and their overlapping symptoms make accurate diagnosis and targeted treatment development p...

MediVision: Empowering Colorectal Cancer Diagnosis and Tumor Localization through Supervised Learning Classifications and Grad-CAM Visualization of Medical Colonoscopy Images

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Oncology,
Colorectal Cancer   Colonoscopy   Convolutional Neural Networks   Malignant Tumors   Integrated CNN   Grad-CAM  

Academic Background Colorectal Cancer (CRC) is one of the most common cancers worldwide, particularly among individuals over the age of 50. Early detection and accurate diagnosis are crucial for improving patient survival rates. However, traditional CRC screening methods, such as colonoscopy, rely heavily on the experience and visual judgment of ph...

A2DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain

Information Science, Artificial Intelligence, Medicine, Neurology,
Electroencephalography   Artifact Representation   EEG Denoising   Frequency Domain Representation  

Academic Background Electroencephalogram (EEG) is a crucial tool for studying brain activity, widely used in neuroscience, clinical diagnosis, and brain-computer interfaces. However, EEG signals are often contaminated by various artifacts during acquisition, such as electrooculography (EOG) and electromyography (EMG). These artifacts significantly ...