Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

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

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 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 ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...