Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

The GENCOV study developed clinical laboratory‑based risk scores to predict mortality among hospitalized COVID‑19 patients in ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Introduction: Type 2 diabetes (T2D) represents a major public health challenge in Poland. This study investigated geographical heterogeneity and municipality-level ecological predictors of high T2D ...

Background Despite several intensive interventions, HIV remains a major public health challenge affecting many individuals worldwide and highlighting ongoing gaps in HIV testing. Objectives To assess ...

MASLD overlap in PSC is linked to increased pruritus severity but reduced fatigue, highlighting distinct symptom patterns in ...

Sedentary lifestyle, poor sleep and mental health may influence adult acne risk, according to a large population study. Learn ...

Adults in the US with vs without adverse social determinants of health or health-related social needs have a significantly higher prevalence of arthritis.

Longer REM latency and increased light sleep percentages are linked to thinner AD-signature cortex on MRI, regardless of patient race or ethnicity.

IIT Guwahati develops model predicting new glacial lakes in Eastern Himalayas, aiding flood risk management and water resource planning.

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.