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 ...

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

I-TE materials experience uneven anion and cation diffusion under temperature gradients, generating an electrical potential difference to power external devices. A ML regression model is trained with ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...