Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Correlation can look convincing in dashboards. Without causal analysis, organizations risk optimizing for the wrong signals.

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

Sepsis, a life-threatening condition caused by the body's dysregulated response to infection, remains a leading cause of mortality in ICUs worldwide. Despite advancements in medical technology, ...

In the life sciences and pharmaceutical sector, cost forecasting has long been treated as a backward-looking exercise, anchored in historical averages and stati ...

For the design of reliable power grounding systems for critical electrical infrastructure, soil resistivity investigation is crucial. However, soil resistivity depends on various geotechnical ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

How predictions would impact clinical decision-making is another question, expert says ...

Which teams are overseeded or underseeded in March Madness 2026 based on predictive rankings from KenPom, BPI and Torvik metrics.