Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

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

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

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with ...

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 ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...