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.

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Heterotopic ossification (HO) is a common post-surgery condition where bone abnormally forms within soft tissues. A new study out of Mass General ...

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...

Global Digital Biomarkers Market OverviewThe global digital biomarkers market is poised for rapid expansion and is expected ...

Thousands Of Genetic Variants Shape Epilepsy Risk, And Most Remain Hidden. EINPresswire/ -- An insightful mini-review published in Genomic Psychiatry synthesizes the rapidly expanding landscape of ...

Researchers at Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of ...

Epilepsy is not one disease. It is a constellation of seizure disorders that affects approximately 50 million people globally and carries increased mortality, psychiatric comorbidity, and, for roughly ...

It is where AI faces its hardest test: layers of regulation, life-or-death stakes, complex biology, and a deeply human, compassionate core that most people would assume is the last thing a machine ...

Rows of corn stretch like green walls toward the horizon on a warm Iowa July morning. For generations, farmers have listened ...

Louse-borne relapsing fever (LBRF), caused by Borrelia recurrentis and transmitted by the human body louse, remains a persistent health emergency in Ethiopia, resulting in preventable mortality among ...