Researchers identified distinct demographic, clinical, and serologic predictors of incident LVSD and cardiac recovery among patients with SSc.

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

New NHANES data link red cell distribution width-to-albumin ratio with diabetic kidney disease risk. Learn more about this screening marker.

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

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

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

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 ...

Metabolic syndrome affects nearly 40% of adults, with sharper increases seen in older age groups and non-Hispanic Black ...

Men are more likely to be diagnosed with advanced melanoma compared with women, and have a greater risk for recurrence and mortality.

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

Individuals with diabetes were more likely to experience sleep disorders, poor sleep quality, and irregular sleep duration, with people who have prediabetes showing similar but milder trends.

By Tarun Sai Lomte Despite stable national trends over the past decade, new JAMA data reveal widening age and racial ...