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

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

Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and secondary care to develop low-cost predictive tools for screening of young-onset ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

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 techniques for detecting errors, they could focus on how to stop them from ...

Wind turbines supply a particularly large amount of electricity in winter—precisely when demand is high. Nevertheless, ...

OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced manufacturing, and improved infrastructure. Researchers use machine learning and ...