Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...