“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.
Title : Exercise: The panacea for overconsumption of carbohydrate.
Charles P Lambert PhD, Lambert Relentless R & D, LLC, United States
Title : Magnesium supplementation as potential means to reduce thrombotic risk in type 1 diabetes
Alan J Stewart, University of St. Andrews, United Kingdom
Title : Incorporation of dietary fibres from selected vegetation for diabesity market
Wan Rosli Wan Ishak, Universiti Sains Malaysia, Malaysia
Title : Navigating obesity, diabetes, and behavior change: A case study of a successful physician-patient partnership
Gretchen Holmes, Memorial Hospital at Gulfport, United States
Title : Diabetic retinopathy and GDM in hispanic pregnant women with toxoplasma gondii
Maureen Groer, University of Tennessee Knoxville, United States
Title : Do the STAP test --- Prevent the diabetes
Madhu S Malo, Diabetic Association of Bangladesh, United States