Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

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

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...