The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...

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

By leveraging AI/ML-driven modeling, Keysight enables semiconductor companies to accelerate innovation, reduce development risk, and maintain a competitive edge in a rapidly evolving market. For more ...

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

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

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

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