Multiscale Computational Modeling of Vascular Adaptation: A Systems Biology Approach Using Agent-Based Models

Area of Science:

• Computational biology
• Biomedical engineering
• Systems biology

Background:

• Cardiovascular diseases present a significant global health challenge.
• Advancements in computational power drive research in vascular pathophysiology.
• Multiscale modeling is crucial for understanding complex biological systems.

Purpose of the Study:

• To review multiscale computational frameworks for vascular adaptation.
• To emphasize the integration of agent-based and continuum models.
• To explore systems biology approaches in vascular pathophysiology.

Main Methods:

• Review of existing literature on multiscale modeling in vascular adaptation.
• Focus on agent-based models (ABMs) and continuum models.
• Analysis of integrating ABMs with continuum models for a systems biology perspective.

Main Results:

• Agent-based models successfully embed systems biology principles and capture emergent cellular behavior.
• Integrated multiscale frameworks link molecular pathways to cellular and tissue levels.
• Current state-of-the-art reveals gaps and limitations in existing models.

Conclusions:

• Multiscale agent-based modeling offers potential for personalized medicine through integration of molecular pathways.
• Further research is needed to address verification, uncertainty quantification, calibration, and validation challenges.
• Integrated models can improve existing therapies and develop novel therapeutic strategies for vascular diseases.