gEndurance: AI-Supported Gender-Specific Behavioral Interventions for Personalized Therapy of Chronic Diseases

The two chronic widespread diseases of high blood pressure and type II diabetes affect millions of people in Germany, and their prevalence is steadily increasing. Both diseases can be treated effectively through lifestyle changes, but there is a lack of personalized, gender-sensitive therapeutic approaches to increase the effectiveness of behavioral interventions. Lifestyle changes are effective treatments, but there is a lack of personalized, gender-sensitive therapeutic approaches to increase the effectiveness of behavioral interventions. The project aims to develop gender-sensitive therapy recommendations for patients with high blood pressure and type II diabetes, thereby stabilizing their health and improving their quality of life.  To this end, a smartwatch and a telemonitoring platform are used to collect physiological data as well as individual data, and socio-cultural factors are also taken into account through surveys. With the help of artificial intelligence and machine learning, this data is analyzed to identify gender-specific differences and derive individualized interventions based on these findings. A central component of the project is the development of a demonstrator that will be tested and evaluated in a pilot study. Gamification elements are intended to increase user motivation and support them in changing their behavior in the long term. 
The Institute for Social Research and Social Economy (iso) in Saarbrücken is coordinating the project and will focus on the ethical, legal, and social implications as well as the acceptance of those affected as part of its accompanying social science research. The “gEndurance” project stands out from existing solutions thanks to its multi-perspective research approach and the integration of AI-supported analyses, and makes an important contribution to the further development of gender-sensitive medical care. In addition, the findings offer great economic potential in the growing market for digital health solutions. The scientific findings from the project will be incorporated into publications and recommendations for the formulation of guidelines and the design of digital health applications. In the long term, the project aims to help reduce medical care costs for patients with hypertension and type II diabetes through smart, target group-specific health solutions.