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

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients ...

Recent advances in machine learning have markedly enhanced the forecasting of groundwater levels, a critical factor in managing dwindling water resources worldwide. The integration of sophisticated ...

IAEA launches a new research project on data-driven prediction of structural changes in polymers induced by radiation. The IAEA is inviting research organizations to join a new project that will use ...

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 ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

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

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...

The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...