Systems Health: A Transition from Disease Management Toward Health Promotion

Area of Science:

• Integrative health sciences
• Systems biology and medicine
• Health promotion and bioinformatics

Background:

• Chronic diseases like cancer, cardiovascular disease, and diabetes are leading causes of death.
• Current precision medicine strategies face limitations due to health's complexity and dynamism.
• Interactions between genetics, lifestyle, and environment significantly impact disease progression.

Purpose of the Study:

• To introduce and advocate for a novel
• systems health
• concept.
• To explore the integration of systems theories into health science and clinical practice.
• To address diagnostic delays and rising healthcare costs through a proactive approach.

Main Methods:

• Utilizing systems biology and systems medicine principles.
• Employing bioinformatics models, including causal loop diagrams and quantitative models.
• Discussing translational applications of these models within the systems health framework.

Main Results:

• Advocated for a comprehensive
• systems health
• paradigm.
• Demonstrated the utility of bioinformatics models for understanding complex health dynamics.
• Highlighted the potential for integrating traditional and modern health perspectives.

Conclusions:

• Systems health offers a promising framework for advancing health promotion and personalized medicine.
• Bioinformatics models are crucial tools for elucidating disease mechanisms and guiding interventions.
• Empowering citizens through citizen science can revolutionize health management and disease prevention.