A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
A recent study conducted at The University of Osaka (Japan), based on the research team’s hypothesis that a non-destructive model for predicting fruit ripeness could be developed using volatile ...
Background Severe aortic stenosis (AS) is commonly associated with advanced cardiac damage, including right ventricular dysfunction (RVD), pulmonary hypertension (PH) and tricuspid regurgitation (TR), ...
Changes in federal prescribing recommendations follow deliberate and transparent processes involving US Food and Drug Administration (FDA) scientists, which normally include input from stakeholders ...
Background Little is known about the association between direct pollen exposure and cognitive performance. The aim of our ...
An Osaka Metropolitan University-led research team examined the relationship between frailty and health-related hope and identified specific frailty domains affecting health-related hope in patients ...
AI does not exert a uniform impact across monetary policy environments. The effect of AI appears strongest in lower quantiles of monetary policy performance, where conditions are weaker or less stable ...
Older adults experience inconsistent outpatient COVID-19 antiviral prescribing despite high risk for severe outcomes and hospitalization.
Considerable sex disparities are reported in elderly patients with HFmrEF/HFpEF, with male sex and older age predicting poor outcomes.
This study investigates the economic and marketing impact of Taylor Swift’s high-profile relationship with NFL player Travis Kelce on Kansas City Chiefs jersey sales. Leveraging sales data, media ...
A causal relationship appears to exist between increased air pollution and outpatient visits for chronic rhinitis.
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