“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 : Changes in the global incidence of diabetes over a quarter century
F Buck Willis, Christian College of Medicine
Title : Vascular health with glucagon-like peptide-1 receptor agonists
Mahir Khalil Ibrahim Jallo, Thumbay University Hospital
Title : The prowess of Overripe Banana Sweetener (OBS) in enhancing nutritive values in food and ameliorating glycaemic responses in type 2 diabetes mellitus
Wan Rosli Wan Ishak, Universiti Sains Malaysia
Title : Wound care 2.0 creating a wound care culture TM
David Navazio, Gentell
Title : Association between diabetes technology use and prevalent macrovascular disease in adults with type 1 diabetes: A cross-sectional analysis
Divanshi Trivedi, London Northwest Hospital NHS Foundation Trust
Title : Beyond the prescription: Using GLP 1 science and lifestyle coaching to prevent prediabetes and support long term blood sugar control
Keith Hersey, Founder/CEO Destroying Diabetes
Title : Intensive versus standard blood pressure control in type 2 diabetes: Cardiovascular and microvascular outcomes
Muhammad Basil Raza, East Lancashire Hospitals NHS Trust
Title : Fetomaternal outcomes in gestational diabetes mellitus with and without polycystic ovary syndrome
Vinita Singh, AIIMS
Title : Effects of a structured education program on glycemic control in type 1 diabetes
Ana Paula Franco Pacheco, Estacio University of Brasília
Title : Cardiorespiratory fitness inflammatory and neurotrophic biomarkers and cognitive function in early versus longer duration type 2 diabetes mellitus
Arbind Kumar Choudhary, All India Institute of Medical Sciences