Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...

As the excitement builds for the Australian Open 2026, fans are eager to see how Jessica Pegula will fare against Anastasia Zakharova in the first round. With advanced predictive models and betting ...