Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...