A multicenter study in Spain developed a new predictive model for surgical risk in patients with cirrhosis that may improve the prediction of postoperative mortality. The surgical risk prediction ...

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

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

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

With exploitation of vulnerabilities taking just days, preemptive security must be the new model for defenders.

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

Update identifies 63.6M adults with intent to enroll and adds 12M verified cell records, enhancing precision for higher ...

Outside Vancouver General Hospital on a chilly morning, ambulances stand idly by the curb as patients pass through the entrance steadily. Inside, administrators look at dashboards with forecasts and ...

Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

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