A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

The clinical and biological features proposed here in conjunction with ML can improve the interpretation of CRC mechanisms and predict patient ...

NOAA hopes to advance its accuracy and speed of weather forecast with the new suite of operational and ensemble AI models ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Artificial Intelligence (AI) has significant potential to transform neurology by enhancing the diagnosis and treatment of brain diseases. Current tools use ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Researchers at Virginia Tech are using quantum entanglement to help AI drone swarms and robots coordinate in "signal lost" ...