Seminar - MyMDT – My Medical Digital Twin: Insights, Experiences, and Future Directions

30th October 2025 09:00 CEST

Speaker

Leif Rune Hellevik - Full professor at NTNU (Trondheim, Norway)

Abstract

What if the cardiovascular system could be simulated on a computer—and used to predict how the body responds to treatment? This presentation introduces MyMDT – My Medical Digital Twin, a platform for personalized hypertension management that integrates physiological simulation, machine learning, and wearable data. The project illustrates how building clinically relevant digital twins is a complex, multidisciplinary challenge requiring collaboration beyond individual research groups. Key methods include lumped parameter models to simulate cardiovascular dynamics and the use of uncertainty quantification (UQ) and sensitivity analysis (SA) to identify influential parameters and guide targeted data collection. These techniques enhance model personalization and clinical relevance. MyMDT is part of a broader digital twin ecosystem. In the U.S., the National Academies of Sciences (NAS) highlight cross-domain research gaps, while Europe’s EDITH initiative focuses on clinical implementation. The project also aligns with the Virtual Physiological Human (VPH) community, which promotes integrative modeling and offers entry points for students and researchers. Whether the interest lies in modeling, machine learning, or clinical applications, the presentation offers a glimpse into how digital twins are reshaping medicine—and what may lie ahead.

Contact person: Lucas Omar Müller.

Where

Polo Ferrari, Povo 1, Via Sommarive, 5, Trento, room A211