A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.A Virginia ...

A Virginia Commonwealth University (VCU) gastroenterologist and a global team of researchers have developed an artificial intelligence model that significantly improves doctors’ ability to predict ...

Investment Week provides the latest investment news, analysis and opinion for wealth managers and the UK funds industry ...

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...

Student retention and success remain persistent global challenges in higher education, with direct implications for institutional quality, resource ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...