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 ...

Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...

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 ...

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 ...

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

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 ...

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

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

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