Developing Lifestyle-Focused Digital Twin Archetypes in Heart Care

Area of Science:

• Cardiovascular Medicine
• Digital Health
• Biomedical Engineering

Background:

• Digital twin technology offers precise cardiovascular modeling but currently lacks integration of long-term lifestyle factors.
• Key lifestyle contributors to heart health, including diet, physical activity, stress, and sleep, are often neglected in current digital twin applications.

Purpose of the Study:

• To address the research gap by proposing a novel three-level framework for lifestyle-focused digital twin archetypes in cardiovascular care.
• To enhance personalization, patient engagement, and long-term health outcomes by integrating lifestyle data into digital twin models.

Main Methods:

• Proposed a three-level framework: basic (self-reported data), intermediate (wearable data), and advanced (comprehensive clinical and lifestyle data).
• Focused on integrating diet, physical activity, stress management, and sleep patterns into digital twin simulations.
• Emphasized multidisciplinary collaboration for holistic heart health understanding.

Main Results:

• The proposed framework enables scalable solutions for better cardiovascular care by bridging technology and lifestyle.
• Potential for enhanced personalization and patient engagement through dynamic feedback and detailed simulations.
• Lays the groundwork for a more holistic approach to managing long-term heart health.

Conclusions:

• Integrating long-term lifestyle factors into digital twin technology is crucial for advancing cardiovascular care.
• The proposed framework provides a scalable and adaptable model for personalized, lifestyle-integrated digital twins.
• This approach promises to improve patient engagement and long-term health outcomes in heart disease management.