Computational biomechanics, a multidisciplinary field at the intersection of engineering, biology, and medicine, has made significant strides in understanding and simulating the mechanical behavior of biological structures using finite element analysis (FEA). This approach enables researchers to investigate complex interactions within the human body, providing insights into various physiological and pathological processes. By combining computational simulations with experimental data, computational biomechanics plays a crucial role in advancing our understanding of biomechanical phenomena, aiding medical diagnosis, treatment planning, and the design of medical devices.

Despite its promising potential, computational biomechanics using FEA faces several challenges. One key issue is the accurate representation of biological tissues and their mechanical properties, which can vary significantly between individuals and under different conditions. Additionally, the integration of multiple scales, from the cellular level to the whole organ, presents a challenge in capturing the hierarchical nature of biomechanical behavior. Model validation and verification against experimental data remain essential, as do uncertainties in parameters and boundary conditions. Furthermore, the computational cost of detailed simulations demands efficient algorithms and high-performance computing resources.

The proposed Special Issue aims to address the current challenges and showcase the latest advancements in computational biomechanics utilizing finite element analysis. It seeks to foster collaboration among researchers from diverse fields to share novel methods, insights, and applications. By compiling a collection of cutting-edge original research and review articles, this Special Issue aims to contribute to the development of more accurate, reliable, and clinically-relevant computational biomechanics methodologies.

Potential topics include but are not limited to the following:

• Personalized biomechanical simulations for medical decision-making
• Multi-scale modeling of tissue mechanics and interactions
• Characterization of mechanical properties of biological tissues using advanced imaging
• Efficient algorithms for large-scale biomechanical simulations
• Uncertainty quantification in computational biomechanics
• Integration of experimental data and computational models
• Validation and verification strategies for finite element models
• Biomimetic design and optimization of medical devices using FEA
• Computational biomechanics in orthopedics and musculoskeletal disorders
• Cardiovascular biomechanics and patient-specific simulations
• Computational modeling of soft tissue mechanics in organs and tumors
• Neuromuscular biomechanics and motor control simulations
• Fluid-structure interactions in biological systems
• Simulation-based training and education in biomechanics
• Translation of computational biomechanics research to clinical practice