As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

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 ...

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

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