Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

Watermelon sales crash as family of four die after eating the fruit How an apparent Jeffrey Epstein suicide note ended up in the hands of his quadruple-murderer roommate Something is happening with ...

There is another tough game to play, as No. 13 Michigan State (23-5 overall, 13-4 Big Ten) is looking to keep itself on the path for a triple-bye in the Big Ten Tournament and potentially towards the ...

Abstract: Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's ...

New research suggests that blood tests may help predict the age Alzheimer’s symptoms could begin at, through the detection of a protein linked to the disease. The predictions have a three- to ...

WashU Medicine researchers developed a model to estimate when Alzheimer's disease symptoms will begin based on the accumulation of amyloid and tau proteins in the brain. These proteins build up ...

“Bad,” or LDL, cholesterol is a major risk factor for heart disease and most people are screened for it as part of their yearly physicals. There’s another marker in the blood that may be a better ...

Share on Pinterest Recent research is highlighting different approaches that may better predict diabetes risk than current methods. Image credit: Narumon Bowonkitwanchai/Getty Images About every 1 in ...

Flagellin antibodies are elevated in a subset of individuals with genetic predisposition to Crohn's disease, raising hopes of early detection and potentially prevention. Sinai Health researchers have ...

JACKSONVILLE, Fla. -- The Jacksonville Jaguars are one game away from their second double-digit win season of the Shad Khan era. But first, they get past the New York Jets In today's episode of the ...

For lung resection candidates, adding cardiopulmonary exercise testing parameters to basic clinical data and pulmonary function tests did not yield a significant improvement in machine learning models ...