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 ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

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

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...