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 ...
Leveraging cutting-edge metabolomics, this study unveils a cost-effective and accurate diabetes prediction model that could revolutionize early detection and prevention strategies. Study: Novel type 2 ...
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Blood metabolite profiling outperforms BMI in predicting pregnancy complications
This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...
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