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

WASHINGTON, July 1, 2025 /PRNewswire/ — FinRegLab today released new empirical research demonstrating that adopting machine ...

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 ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and near-infrared (NIR) spectroscopy provide detailed biochemical fingerprints ...

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

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, according to a study led by Northeastern University computer science graduates.