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

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

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 ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

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

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

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