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

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

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

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

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

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