The determination of blood glucose levels is vital in the diagnosis and management of diabetes. Although individuals with diabetes have a great number of historical glucose measurements, there have been few data sets that have been recorded continuously or sampled frequently enough to reveal intrinsic blood glucose dynamics, or the change in blood glucose with time. There is even less data from people who do not have diabetes that could be utilized as a therapeutic target. As a result, blood sugar dynamics were rarely used in the diagnosis and treatment of diabetes. Although current blood sugar monitoring is primarily based on discrete measurements, future monitoring will most likely be centered on the study of blood glucose excursions.
Data driven modelling










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 : An intelligent hierarchical medical platform established upon high-quality datasets improves the effectiveness of glycemic management for patients across different levels of hospitals
Zhiheng Zhou, Southern Medical University
Title : Diabetes pathogenesis and prevention
Madhu S Malo, Stapgen LLC
Title : Effects of a structured education program on glycemic control in type 1 diabetes
Ana Paula Franco Pacheco, Estacio University of Brasília
Title : Differential diagnosis of diabetes in young and prevalence of LADA and LADY in young persons attending tertiary diabetes institute in Bengaluru, India
R Anil Kumar, Karnataka Institute of Endocrinology and Research
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 : Endocrine-specific diabetes risk modeling, glucose–insulin dynamics, and simulation-based metabolic review using the BVidAL clinical software suite
Abhishek Bansal, New Era Consultancy Services
Title : Using a multi-disciplinary clinic model to prevent diabetic foot ulcer recurrence
Kaishi Yang, Albert Einstein College of Medicine
Title : Shaping the future of diabetes care: New advancements in treatment, digital health and personalized patient care
Rupesh K Gautam, Amity Institute of Pharmacy