“Integrating these data in large samples allowed us to identify early metabolic pathway changes that precede type 2 diabetes, providing new insights into disease mechanisms,” said Jun Li, MD, ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

For 2026 we must commit to a different path built on prediction, prevention, equity and innovation. That shift rests on three ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...

Background: Stress-induced hyperglycemia (SHG) represents a significant metabolic complication in non-diabetic cardiac surgery older adult patients, with substantial implications for postoperative ...

For early identification and individualised management, machine learning-based diabetes prediction is essential. In this work, the methods for logistic regression (LR), naïve Bayes (NB), decision ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...