AI Stool Test Hits 90% Colorectal Cancer Accuracy

Researchers at the University of Geneva have developed a machine learning model that identifies colorectal cancer with 90% accuracy ^[1]. The tool maps gut bacteria to detect subtle microbial signals linked to the disease ^[1]. This breakthrough provides a low-cost, non-invasive screening method for patients worldwide ^[1]. The human microbiome plays a critical role in both the development and progression of various cancers ^[2]. By analyzing these bacterial patterns, the AI-driven test offers an alternative that rivals the effectiveness of traditional colonoscopies ^[1]. Early detection through this method could significantly improve survival rates ^[1][2].