A Sustainable AIoT Based Nutritional Recommender for Self-Management of Type 2 Diabetes among Adult Population

This SUSCARE project addresses the call for proposals on global health by proposing an international partnership between Norwegian and Colombian Universities, Research Institutes, and International Diabetes Federation, Colombia. The primary objective of SUSCARE is to establish a long-term partnership on advancing “SDG 3-Good Health and Well-being” by fostering the Norwegian government`s “Better Health, Better Lives” goal. The main purpose of this pre-project is to build a consortium and lay the theoretical and practical foundations for applying for Collaborative and Knowledge-building Projects (KSP) in Global Health in 2025 aimed to implement and evaluate a sustainable and equitable Artificial Intelligence of Things (AIoT) Based Patient-centred framework for self-management of type 2 diabetic (T2D). Overall, this pre-project will help to get a better overview of the research challenges, perform necessary assessments of user requirements and research needs to improve self-management of T2D, identify, and engage potential stakeholders, and make concrete development goals and research direction for the KSP application to be submitted in March 2025.