Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

As global participation in digital-asset ecosystems expands and blockchain behaviour becomes increasingly complex, platforms ...