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

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

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 ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

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 ...

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