Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...

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, ...

Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...

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 ...

Machine learning models could enable earlier identification of at-risk children, aiding social workers and potentially improving outcomes. Disclaimer: AAAS and EurekAlert! are not responsible for the ...

How AI Is Integrating Fire Prevention Into Modern Security Service Models Fire prevention is no longer treated as a ...

To achieve longer accountable relationships, a bridge from one insurer to another could be built through continuity of accountability amid insurance transitions, improved risk prediction, and ...

Powered by advanced artificial intelligence and machine-learning technology, the system conducts millisecond-level surveillance across trading activities and user behavioral patterns. Through ...

LendScore uses real-time cash flow data and unique account connection insights from the Plaid Network to provide lenders with an updated view of borrower risk To give lenders a more complete financial ...