The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
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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 ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
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 ...
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