Isocitrate Dehydrogenase Mutation

Isocitrate dehydrogenase (IDH) mutations are significant biomarkers in various cancers, particularly gliomas, and their accurate and efficient detection is crucial for diagnosis and treatment planning. Current research focuses on developing non-invasive diagnostic methods using machine learning models, including convolutional neural networks (CNNs), transformer networks, and graph neural networks (GNNs), to analyze medical images (MRI, CT scans) and genomic data (whole slide images, mutational signatures) for IDH mutation prediction. These advancements offer the potential for faster, more accurate diagnoses and personalized treatment strategies, reducing reliance on invasive biopsy procedures.