Introduction to Focus Issue: Dynamical disease: A translational approach

Area of Science:

• Physiology
• Mathematical Biology
• Complex Systems

Background:

• Dynamical Diseases conceptualizes pathological states as physiological control systems operating outside normal parameter ranges.
• This framework suggests reversibility of disease by restoring parameters to their normal operating range.
• The concept draws parallels with bifurcations in dynamical systems, enabling mathematical modeling of clinical conditions.

Discussion:

• The application of Dynamical Diseases spans cardiac, hematological, and neurological systems.
• Mathematical modeling allows investigation of parameter changes to prevent pathological states.
• This field integrates traditional physiological understanding with contemporary data-driven methodologies.

Key Insights:

• Pathological physiological states can be understood as deviations in control system parameters.
• Mathematical models based on dynamical systems can predict and guide interventions for disease reversal.
• The concept provides a unifying framework for diverse physiological and clinical studies.

Outlook:

• Continued evolution of Dynamical Diseases integrating advanced computational and data-based methods.
• Expanding applications in personalized medicine and predictive diagnostics.
• Further exploration of bifurcations and control theory for novel therapeutic strategies.