Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...
A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...
BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.
AI-Driven Emerging Trends, Challenges, and Future Directions for Brain Tumor Detection in Healthcare
Abstract: Brain tumors are among the most serious health conditions, requiring early and accurate diagnosis to improve patient outcomes. This review analyzes a wide range of artificial intelligence ...
Cancer cells use mitochondria stolen from immune cells to escape detection and spread. Researchers found that when cancer cells take on these mitochondria in mice, it both weakens the immune cells and ...
Introduction: AI techniques like convolutional neural networks (CNN), deep learning (DL), and neural networks (NN) have made it easier to automatically extract important clinical data for glioma ...
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