Konstanz, July 1, 2025 – As part of her doctoral research, Sara Campanella from Università Politecnica delle Marche has joined the Ubiquitous Computing Lab of Prof. Dr. Ralf Seepold to work on a collaborative research project focusing on AI-driven diabetes management for pediatric patients together with Daniel Velez Gutierrez.

f.l.t.r. Prof. Dr. Ralf Seepold, Sara Campanella, and Daniel Vélez at HTWG Campus

The cooperation aims to improve treatment outcomes and quality of life for children with Type 1 diabetes by developing intelligent systems that personalize insulin therapy in real time. Central to the research is the integration of continuous glucose monitoring (CGM) devices and insulin pumps with machine learning algorithms that dynamically adjust insulin delivery to the specific needs of each patient.

In addition to glucose and insulin data, the initiative incorporates external factors, such as physical activity, sleep, stress levels, and lifestyle habits, all of which significantly impact diabetes management. The resulting embedded AI system is designed to support more autonomous and precise insulin regulation.

Campanella’s work also extends the project scope to stress diagnosis, leveraging AI to detect early physiological indicators of stress that can impact blood glucose control.

This international research cooperation reflects HTWG’s commitment to advancing smart healthcare technologies through interdisciplinary and cross-border collaboration.