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 ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

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