Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...

Findings underscore the potential limitations of using systemic inflammatory indices like the Dietary Inflammatory Index and Systemic Immune-Inflammation Index to assess organ-specific conditions.

Objectives Cardiopulmonary involvement (CPI) is a major cause of morbidity and mortality in systemic sclerosis (SSc). The 6 min walk test (6MWT) is widely used to assess functional capacity, but its ...

In the age of big data, analytics tools have evolved beyond simple reporting. Today’s businesses rely heavily on two powerful ...

Dealers that lean into prediction should expect to gain a real edge—higher conversion, less waste and faster pivots.

Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.