The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
5don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
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 ...
6h
What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?
Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
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 ...
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 - ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results