The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

ORLANDO -- Use of a machine learning-based pediatric early warning score was associated with lower odds of critical events among hospitalized children, according to a pre- versus post-implementation ...

In a recent article published in eClinicalMedicine, researchers propose a novel predictive model based on machine learning (ML) for the early prediction of adverse events (AEs), such as cardiac arrest ...

A study conducted across seven hospitals within the Yale New Haven (Conn.) Health System found that Epic’s Deterioration Index underperformed compared to other early warning scores in detecting ...

In a rare head-to-head analysis, Yale's health system evaluated the statistical performance of six early warning scores on the same clinical data from seven of its hospitals, publishing its results ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

A new study from Yale New Haven Health System — YNHHS — reveals significant differences in the performance of early warning systems designed to predict clinical deterioration in hospitalized patients.

Lost your sense of taste as an adult? You might be at risk of an early death. This is the surprising conclusion of a team of researchers led from the Key Laboratory of Precision Nutrition and Food ...