Machine Learning Framework Distills Crohn’s Disease Risk From Half a Million Genetic Variants
A hybrid XGBoost-based machine learning framework has distilled Crohn's disease risk prediction down to just 15 genetic variants, achieving over ...
A hybrid XGBoost-based machine learning framework has distilled Crohn's disease risk prediction down to just 15 genetic variants, achieving over ...
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...
A new study combining econometrics and machine learning finds that coal is the dominant driver of PM2.5 pollution across G7 ...
Researchers have built a unified physics-informed AI framework that couples fracture mechanics with explainable machine learning to predict corrosion-fatigue life, ...
Researchers combined LightGBM, Random Forest, and XGBoost models with docking and molecular dynamics simulations to identify three novel serotonin transporter ...
Researchers in Bangladesh have released a 20,000-comment dataset for detecting religious aggression in Bangla and shown that a lexicon-boosted XGBoost ...
Researchers have developed a PSO-optimized stacking ensemble that estimates three-phase inverter voltages sensorlessly with errors below 1.6 percent across a ...
A portable electrochemical sensor combined with machine learning can identify Arabica and Robusta coffee and predict blend ratios within minutes, ...
A 25-year satellite analysis of the China–Russia Xingkai Lake Basin reveals a 44.9 percent wetland loss, a 16.5 percent decline ...
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© 2026 Scienmag - Science Magazine