“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 : Does winter melon (benincasa hispida) improves nutritional values and ameliorating glycaemic parameters?
Wan Rosli Wan Ishak, Universiti Sains Malaysia, Malaysia
Title : Effect of a community-based health behaviour intervention on health-related quality of life in people with type 2 diabetes in Nepal: a cluster randomized controlled trial
Ashmita Karki, Central Queensland University, Australia
Title : Microalbuminuria and its correlation with HbA1c levels in newly diagnosed type 2 diabetics: a cross-sectional study
Sammon Khan Tareen, University Hospitals Birmingham, United Kingdom
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 : Effect of BASNEF- based Nutrition education on nutritional behaviors among elderly people and mini nutritional assessment(MNA) on nutritional status in elderly with diabetes with Type 2 diabetes (A clinical trial intervention)
Davoud Shojaeizadeh, Tehran University of Medical Sciences, Iran (Islamic Republic of)
Title : Association of Autoimmune Pathologies withType1 Diabetes: Epidemiological, clinical and metabolic aspects
Touzani Asmae, chu-Children's hospital, Morocco