Predictive Medicine

patient-specific aorta

We provide clinical decision support from patient-specific data, to help physicians save lives and prevent disease.

Computer simulation is revolutionizing healthcare research. It has bolstered clinical diagnoses and treatment. It allows well-informed decisions to replace educated guesses. It allows safe, low-cost calculations to replace expensive, risky procedures. It reduces costs for development of new devices. It is an intersection point for collaboration, and inspires joint institutions for translational medicine.

We have garnered the experience of physicians and engineers to provide predictive diagnostics for the treatment of disease, so that physicians can intervene before a patient becomes untreatable. This work is intended to build infrastructure for sharing and collaborative research between engineering and medicine, toward a common goal: improving patient care.

We have developed a modeling paradigm for the creation of patient-specific geometries of arteries; an analytic framework for describing the growth mechanics of aneurysms as a fiber-based inelastic material; and, a descriptive framework for connecting clinical features of aneurysm development with mathematical descriptions of model variables. Together, they provide a predictive capability for aneurysm modeling, from patient-specific image data to predicted outcome.