HYBRID EVENT: You can participate in person at Orlando, Florida, USA or Virtually from your home or work.
Artificial Intelligence: The Future for Diabetes Care
“A discipline of computer science that tries to design systems or methods that analyses information and allow the handling of complexity in a wide range of applications,” is stated as AI. For efficient data handling and the development of tools and gadgets for diabetes care, AI is a viable and attractive option. Artificial intelligence (AI) is a rapidly evolving science, and its applications to diabetes, a global epidemic, have the potential to revolutionize the way diabetes is diagnosed and managed. Machine learning principles have been employed to build algorithms to support predictive models for the risk of diabetes and its complications.
- Artificial Intelligence in Diabetes Education
- AI and big data in diabetes management
- Diabetic Retinopathy Diagnosis with AI
- Complications Monitoring
Committee Members
Mahir Khalil Ibrahim Jallo
Gulf Medical University, Canada
Yong Xiao Wang
Albany Medical College, United States
F Buck Willis
University of Belize, Belize Diabetes 2025 Speakers
Sujith Rajan
NYU Long Island School of Medicine, United States
Amy Gutman
AdventHealth; Tough Love MD, United States
Paraskevi Theofilou
Hellenic Open University, Greece
Teji S Dhami
Boost your Health and Wellness, United StatesSubmit your abstract Today
Title : Adipose MTP deficiency protects against hepatic steatosis by upregulating PPAR activity
Sujith Rajan, NYU Long Island School of Medicine, United States
Title : Important roles and mechanisms of novel calcium signaling in diabetes-induced vascular dementia
Yong Xiao Wang, Albany Medical College, United States
Title : Does winter melon (Benincasa hispida) improves nutritional values and ameliorating glycaemic parameters ?
Wan Rosli Wan Ishak, Universiti Sains Malaysia, Malaysia
Title : The menopausal mind: Reframing female senescence as a neuroendocrine disorder with root cause management strategies
Amy Gutman, AdventHealth; Tough Love MD, United States
Title : Diabetes reduction (pre-diabetes and type 2) with integrative medicine
F Buck Willis, University of Belize, Belize
Title : Serum fructosamine: A more accurate screening test than 3-hour OGTT for diagnosis of gestational diabetes
Sarah Exley, Broadlawns Medical Center, United States