Track: Innovations in Diabetes Diagnosis

Diabetes Congress 2025

Traditional and Emerging Biomarkers for Early Detection: Key biomarkers, like insulin and C-peptide, alongside novel markers, help identify diabetes risk and progression at earlier stages.

Continuous Glucose Monitoring and its Advancements: Real-time glucose tracking devices have evolved with better accuracy, non-invasive methods, and AI-driven insights.

HbA1c and Other Diagnostic Criteria: HbA1c, fasting glucose, and oral glucose tolerance tests remain primary methods for diagnosing and monitoring diabetes.

Role of Genetic Testing in Diabetes Risk Prediction: Genetic testing identifies predisposition to diabetes, enabling personalized prevention and treatment strategies.

The Future of AI in Diabetes Diagnostics: AI enhances diabetes prediction, personalized care, and decision-making through big data analysis and machine learning.

Ethical Considerations and Data Privacy in Diabetes Diagnosis: Exploring the ethical challenges surrounding the use of AI and big data in diabetes diagnosis, including patient privacy, consent, and the potential for algorithmic bias.