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

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

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

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

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 ...

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

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

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

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