Review on experiment-based two- and three-dimensional models for wound healing.

Area of Science:

• Biomedical Engineering
• Computational Biology
• Medical Simulation

Background:

• Traumatic and chronic wounds pose significant medical and economic challenges, particularly in aging populations.
• Current treatments are time-consuming and costly, necessitating innovative approaches to accelerate healing.
• Understanding wound healing requires analyzing complex biophysical and biomechanical processes.

Approach:

• This review explores contemporary mathematical modeling techniques for simulating wound healing processes.
• Focuses on modeling gap closure and related phenomena like angiogenesis.
• Highlights the predictive power of mathematical models to quantify treatment effects.

Key Points:

• Mathematical models offer predictive capabilities to forecast treatment outcomes for various wound types.
• Simulations provide insights into the wound healing cascade, including angiogenesis.
• Models can quantify the impact of interventions on healing rates and processes.

Conclusions:

• Mathematical modeling serves as a powerful tool for understanding and optimizing wound treatment strategies.
• Simulations can visualize complex healing dynamics for physicians, patients, and researchers.
• This approach can accelerate the development of effective wound care interventions.