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

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

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

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

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 ...

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

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

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

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