Machine Learning Framework Distills Crohn's Disease Risk From Half a

Machine Learning Framework Distills Crohn’s Disease Risk From Half a

Crohn’s disease is one of medicine’s most frustrating puzzles. A chronic inflammatory bowel condition that can strike anywhere along the gastrointestinal tract, it most often announces itself in early adulthood and then refuses to leave, driving transmural inflammation that damages the small intestine and colon. Its incidence is climbing worldwide, yet the precise cause remains […]

Machine Learning Framework Distills Crohn's Disease Risk From Half a

A hybrid XGBoost-based machine learning framework has distilled Crohn's disease risk prediction down to just 15 genetic variants, achieving over 90 percent predictive accuracy from genome-wide SNP data.