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 ...
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 ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...