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 ...

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

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...

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

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 ...