Developing Lifestyle-Focused Digital Twin Archetypes in Heart Care

Digital twin technology is a potential transformative tool in heart care, enabling precise modeling of cardiovascular functions. However, current applications predominantly focus on physiological processes and short-term medical interventions, neglecting the integration of long-term lifestyle factors such as diet, physical activity, stress management, and sleep patterns-key contributors to heart health. This paper addresses this critical research gap by proposing a three-level framework for lifestyle-focused digital twin archetypes: basic (utilizing self-reported data for general health guidance), intermediate (incorporating wearable-generated data for dynamic feedback), and advanced (combining comprehensive clinical and lifestyle data for detailed simulations and personalized treatment planning). By integrating lifestyle factors, the framework could enhance personalization, patient engagement, and improve long-term health outcomes. The approach emphasizes multidisciplinary collaboration and paves the way for a holistic understanding of heart health, offering scalable solutions to bridge technology and lifestyle for better cardiovascular care.