Applying computational models to address clinical issues in biomedical engineering

Computational models can offer insight into the mechanisms of injury or disease that can be difficult to extract from clinical or experimental data. We can take measurements in our models that are not logistically or ethically feasible to extract from living humans. We can also use these same computational tools to quantitatively predict what the optimal treatment pathway may be for a specific patient. In this presentation, I will focus on modeling applications in the knee joint and discuss two recently completed studies from our research group. I will also look forward to where I anticipate this work will take us over the next 5-10 years, and how we may better integrate our modeling tools and analysis with the clinical community.