Several ocular diseases, including glaucoma, have been associated with impaired retinal perfusion. In glaucoma, many risk factors contribute to ocular damage, and interestingly, alterations in retinal hemodynamics have also been associated with this disease. A better understanding of the factors that contribute to these hemodynamic alterations could lead to improved and more appropriate clinical approaches to manage and hopefully treat glaucoma patients. However, the interplay among these factors is complex and not always easy to interpret in a clinical setting.
We use mathematical modeling to investigate the complex relationship among these factors, and to interpret the outcomes of clinical studies. The results obtained show that the insight provided by mathematical modeling alongside clinical studies can improve the understanding of glaucoma and potentially contribute to the clinical development of new treatments.