Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

AI is focusing on deeper insights for sustainable growth and long-term value, from predictive performance modeling to AI-driven attribution, CLV, and EVS. Success in PPC has historically been measured ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...