Computerised applications in Diabetes mitigations

The prevalence of diabetes is rising globally. Poor glucose control results in higher rates of diabetes-related complications and an increase in health care expenditure. Diabetes self-management education (DSME) training has shown to improve glucose control, and thus may reduce long-term complications. Implementation of diabetes self-management education programs may not be feasible for all the institutions or in developing countries due to lack of resources and higher costs associated with DSME training. With the increasing use of smartphones and Internet, there is an opportunity to use digital tools for training people with diabetes to self-manage their disease. A number of mobile applications, Internet portal, and websites are available to help patients to improve their diabetes care. However, the studies are limited to show its effectiveness and cost-benefits in diabetes self-management. In addition, there are many challenges ahead for the digital health industry.
Recent attempts have been made to develop mobile software that can calculate nutritional information for the patients based on their food intake. Frøisland developed and tested a mobile-phone-based tool to capture (DiaMob) and visualize adolescents’ food intake aimed at understanding carbohydrate counting and to facilitate communication to daily treatment changes. Implementing a visualization tool is an important contribution for young people to understand the basics of diabetes and to empower young people to define their treatment challenges. It empowers patients’ independence and management of their disease.

  • Molecular imaging analysis of Diabetes
  • Computational strategy to find the etiology of the disease
  • Computational disease gene identification
  • Computational techniques to uncover the etiology of disease
  • Computational Approaches And Interventional Strategies
  • Computational approaches to interpreting genomics sequence variations

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