The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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

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

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

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

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

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

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