A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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 ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

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 - ...

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 ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

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 ...