Graph machine learning model shows potential for predicting cancer genes

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat. Preventing and treating cancer has become a global priority, with identifying cancer-driver genes being essential for understanding its development and advancing personalized therapies. However, current methods struggle with generalizability and interpretability, limiting their effectiveness across different cancer types and populations.