The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...