Eustachian tube dysfunction (ETD) is associated with shorter disease duration and more severe aural fullness symptoms, ...

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

The test, developed by Astrin Biosciences, utilizes deep proteomic profiling and a machine learning classifier to identify ...

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...

By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...

Elevated lactate levels and hypotension independently predicted higher in-hospital mortality in critically ill adults with COVID-19.

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

By Dr. Liji Thomas, MD By pairing everyday smartphone motion data with established clinical scores, researchers demonstrate a ...

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...

Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...