A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

After examining 13 million hours of light exposure data, researchers found that experiencing bright light during the dark ...

Tropical inland waters don't produce as many greenhouse gas (GHG) emissions as previously estimated, according to the results ...

How much alcohol is “too much,” in terms of cancer risk? Identifying causes helps us make decisions — both as individuals and ...

The study’s AI-generated maps showed that the Locride area, located within the Aspromonte Geopark, faced the highest drought ...

Hay feeders, mirrors and activity balls can improve horses’ time in the stable, research has shown. In a study published in ...

Teaching research methods to adult learners requires a shift in mindset: from covering content to building capacity.

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Researchers at the University of Oulu, Finland, have observed significant vegetation changes in the treeless heath and tundra ...

Jane Hirst and colleagues argue that novel modelling approaches using routinely collected data can be only as representative and complete as the original data, and that bridging the sex and gender gap ...

Background Research has shown that workers in non-standard (eg, temporary and part-time) employment experience poorer health ...