Diabetes management is being revolutionized by AI and Big Data, which enable tailored care and ongoing monitoring. Machine learning algorithms analyze vast datasets from continuous glucose monitors, wearable devices, and electronic health records to identify patterns and predict blood sugar fluctuations. This data-driven approach allows for tailored treatment plans, improving patient outcomes and reducing complications.
Furthermore, AI-powered applications assist individuals in making informed lifestyle choices by providing actionable insights based on their unique health data. Predictive analytics can alert users to potential hypoglycemic events, enhancing safety and empowering patients to take proactive measures. Ultimately, the integration of AI and Big Data in diabetes management fosters a more proactive, personalized healthcare experience, enhancing the quality of life for those living with the condition.












Title : Changes in the global incidence of diabetes over a quarter century
F Buck Willis, Christian College of Medicine
Title : Beyond glucose: A dual mechanism neuroprotective strategy targeting the GPR146 SIRT1 and ADGRG1 MYC axes in alzheimer’s disease
David Petch, utR Biotech
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 : 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 : Fetomaternal outcomes in gestational diabetes mellitus with and without polycystic ovary syndrome
Vinita Singh, AIIMS
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
Title : Residual Maladaptation Score (RMS): A novel Risk stratification index for early identification of diabetes risk and valvular heart disease in patients with hypothyroidism beyond standard thyroid markers
Ashwin Karuppan V, Gleneagles Hospitals
Title : Biographical disruption mental health and lived experience in adolescents and young adults with type 1 diabetes
Ariela Orbea Cevallos, Universidad Internacional SEK
Title : Enhancing nutrition therapy on diabetics through increased crop productivity
Grace A Asiko, Apiculture Platform of Kenya