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.

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, ...

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 ...

The model started with around 2,000 predictive features that could factor into CAD risk, but the team eventually whittled this list down to 53 risk factors. These included physical measurements, blood ...

We analyzed a prospective multi-institutional cohort of 278 patients treated from 2012 to 2023 across 10 centers. Dosimetric and nondosimetric variables were collected, and key predictors were ...

Researchers in Japan have developed a predictive model that could improve treatment decisions for advanced pancreatic cancer patients. By combining tumor marker readings with patients' genetic ...

From Reaction to Anticipation: Predictive analytics empower security teams to transition from reactive responses to proactive strategies by leveraging data to anticipate risks before they escalate.