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 ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

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

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

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 ...

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

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

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 ...