This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...

Machine learning (ML) has been used in many areas of diabetes research, from basic studies to predictive tools that can help doctors and patients make better and timely decisions.

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

Rourkela: A research team at the National Institute of Technology (NIT) Rourkela, led by Prof. Mirza Khalid Baig from the Department of Biotechnology and Medical Engineering, has developed an ...

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...