Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

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

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

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

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

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...