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 ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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

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

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

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

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

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

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

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

New AI Model Can Predict Blood Loss In Liposuction. New Delhi, Dec 26 (IANS) A newly developed artificial intelligence (AI) ...