A machine learning model can make accurate survival predictions for Merkel cell carcinoma (MCC), according to a stu ...

Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

Meta has released a new AI model that can translate speech from 101 different languages. It represents a step toward ...

Researchers have developed a machine learning model to identify defective products by detecting injection pressure during the ...

Biorefineries convert biomass, such as wood, annual plants or agricultural into products and energy. Research teams in ...

Oxford University researchers have unveiled a new blood test, powered by machine learning, that shows promise in detecting ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ.

As Artificial Intelligence continues to grow and revolutionise every industry worldwide, the demand for a skilled ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...

A study by researchers at the University of Minnesota Twin Cities offers new insights into how alternating corn and soybean ...

Federated learning represents a significant shift in the landscape of machine learning, enabling many clients or devices to ...