In Silico Modeling and Simulation for Diabetes Therapy

Existing Technologies in Diabetes Care

Author(s): Darshna M. Joshi*, Hardik Bhatt* and Himanshu K. Patel *

Pp: 46-63 (18)

DOI: 10.2174/9798898813635126010007

* (Excluding Mailing and Handling)

Abstract

Millions of people worldwide suffer from diabetes, a chronic metabolic disease that needs to be accurately and consistently managed. The disorder is being treated by technological developments that improve blood glucose management. An overview of the main technologies used to manage diabetes is given in this chapter, including insulin pumps, artificial pancreas systems, and Continuous Glucose Monitoring (CGM) devices. Multiple insulin injections are no longer necessary thanks to real-time blood glucose regulation. There is a detailed discussion of emerging tools, such as in silico sensors, which anticipate glucose dynamics using computational models. They guarantee the best possible insulin delivery based on information gathered from the effective application of closed-loop control algorithms. Additionally, the use of AI and machine learning will further improve the efficacy of individualized therapy, and simple, accurate, and portable insulin pens are discussed as diabetes care solutions. Even with the advances in technology, issues like cost, availability, and data security continue to be significant. Nevertheless, a bright future is anticipated, with advances significantly improving patient outcomes.


Keywords: Artificial pancreas, CGM, Diabetes, In silico, Insulin pump, Insulin pens.