AI and Big Data in Diabetes Management

Diabetes management is being revolutionized by AI and Big Data, which enable tailored care and ongoing monitoring. Machine learning algorithms analyze vast datasets from continuous glucose monitors, wearable devices, and electronic health records to identify patterns and predict blood sugar fluctuations. This data-driven approach allows for tailored treatment plans, improving patient outcomes and reducing complications.

Furthermore, AI-powered applications assist individuals in making informed lifestyle choices by providing actionable insights based on their unique health data. Predictive analytics can alert users to potential hypoglycemic events, enhancing safety and empowering patients to take proactive measures. Ultimately, the integration of AI and Big Data in diabetes management fosters a more proactive, personalized healthcare experience, enhancing the quality of life for those living with the condition.

Committee Members
Speaker at Diabetes  2026 - Mahir Khalil Ibrahim Jallo

Mahir Khalil Ibrahim Jallo

Gulf Medical University, Canada
Speaker at Diabetes  2026 - F Buck Willis

F Buck Willis

Christian College of Medicine, Belize
Speaker at Diabetes  2026 - Anil Harrison

Anil Harrison

Midwestern University, United States
Speaker at Diabetes  2026 - Wan Rosli Wan Ishak

Wan Rosli Wan Ishak

Universiti Sains Malaysia, Malaysia
Diabetes 2026 Speakers
Speaker at Diabetes  2026 - Mahir Khalil Ibrahim Jallo

Mahir Khalil Ibrahim Jallo

Gulf Medical University, Canada
Speaker at Diabetes  2026 - F Buck Willis

F Buck Willis

Christian College of Medicine, Belize
Speaker at Diabetes  2026 - Anil Harrison

Anil Harrison

Midwestern University, United States
Speaker at Diabetes  2026 - David Navazio

David Navazio

Gentell, United States
Speaker at Diabetes  2026 - Sujith Rajan

Sujith Rajan

NYU Long Island School of Medicine, United States
Speaker at Diabetes  2026 - David Petch

David Petch

utR Biotech, Canada
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