1 publication

• Published Subscription Review Article 27 Mar 2026

  Diabetes Risk & Al Nutrition Assistant

  By Shivin Tarare, Saurabh Paraskar, Kiran Chadde, Himanshu Popat, Milind Deshpande

  Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …

  Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article →