The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
4don 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 ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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 ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results