A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Predicting observable traits from genetic variation remains difficult due to the complex interplay of multiple genes and environmental influences. Widely used statistical approaches are limited in ...

From mapping bacterial gene networks to predicting DNA instability, AI and machine learning are opening new frontiers in genetics and biology. Researchers are using these tools to uncover hidden ...

What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...

By analyzing CpG-based DNA methylation, the model achieved 87% accuracy when applied to 31 cases representing 17 different cancer types.

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...