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

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 ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

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 ...

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

Nigeria’s market community is moving beyond basic chart patterns. Affordable computing and better data feeds are putting machine learning signals on the phones of traders in Lagos, Abuja, and Port ...

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

Translational modelling has emerged as a critical approach in environmental health and pharmacology, offering new pathways to predict human health risks ...

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" ...