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

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

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

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

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

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

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, ...