The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
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 ...
3don 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 ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
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 ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
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