ESC TV Today – Your Cardiovascular News Season 3 - Ep.14: Extended interview on the digital twin in cardiology
Apr 24, 2025
Dive into the fascinating world of digital twins in cardiology! Discover the challenges of creating accurate computational models for heart health and how they can tackle clinical issues. Learn about personalized pacing strategies that adapt treatments to individual patient needs. Explore the integration of this cutting-edge technology into clinical workflows, and the essential considerations of cost, training, and ethics. Finally, uncover how digital twins could revolutionize precision medicine and transform patient care.
AI Snips
Chapters
Transcript
Episode notes
Balancing Model Complexity
- Matching model complexity to the limited clinical data is a fundamental challenge in cardiac digital twin modeling.
- Overly complex models risk overfitting, which undermines clinical usefulness.
Personalizing Pacing with Digital Twins
- Joost Lumens' research showed varying heart responses to accelerated pacing in HFpEF patients.
- Digital twins can test and personalize pacing strategies using patient-specific diagnostic data.
Prioritize Data Uncertainty
- Knowing measurement uncertainty is as important as the data itself in building digital twins.
- Accounting for uncertainties enables more reliable and accurate patient models.