Analysis of Non-Invasive Diabetes Detection Technology

Abstract

Diabetes mellitus is a chronic disease caused by a combination of genetic, environmental, and lifestyle factors, posing a serious threat to public health worldwide. Traditional blood glucose monitoring methods have the disadvantages of high invasiveness, complicated operation, and poor portability, which affect the testing experience of patients and the effectiveness of disease management. Therefore, the search for new non-invasive, convenient and accurate diabetes detection methods has become a research hotspot. This research describes some of the current state-of-the-art diabetes detection technologies, with a focus on optical technologies, electrochemical sensors, continuous glucose monitoring (CGM) systems, and telemedicine solutions incorporating artificial intelligence and the Internet of Things (IoT). These new technologies enable non-invasive blood glucose monitoring by analyzing glucose concentrations in body fluids, improving patient experience and disease management. In addition, genetic and metabolic research, portable testing devices, and novel therapeutic approaches offer new possibilities for early diagnosis and personalized treatment of diabetes. By taking a deeper look at these new technologies, this research provides new ideas and directions for the future management of diabetes.