Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

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

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...