PLEASE NOTE: This seminar is a hybrid event taking place in-person and online. You can choose to order an in-person ticket or a virtual attendance ticket when registering to attend.
For those attending in person, refreshments will be served immediately after this seminar in RSM 3.24.
Modelling and Validating Device-Induced Thrombosis and Thromboembolization
Thrombosis remains a significant clinical issue manifesting in heart attacks and strokes. However, the challenges extend to the success of cardiovascular devices. Given the complex process associated with thrombosis, developing an accurate computational model is challenging particularly validating the model that encompasses a range of flow and surface interactions and occurs at different temporal and spatial scales. Leveraging canonical experiments that acquire a breadth of data will be crucial to validate the computational model.
Furthermore, there are different mathematical approaches that may be used to model thrombosis with some ideally suited for predicting embolization. This presentation will cover the development and experimental validation of the model and ongoing methods that add more complexity and accuracy to the model. Ultimately, the goal of the model is to be sensitive to different material surfaces and respond to low and high-shear environments to predict thrombus formation and potential embolization.
Dr Keefe B. Manning is a Professor of Biomedical Engineering and Professor of Surgery (courtesy) at The Pennsylvania State University. He completed his B.S. in Bioengineering in 1995 at Texas A&M University and his M.S. in Bioengineering in 1997 at Texas A&M University. Subsequently, he completed his PhD in Biomedical Engineering in 2001 at Virginia Commonwealth University studying flow in the outlet of a centrifugal blood pump. He spent 2001-2004 as a post-doctoral scholar studying the fluid mechanics of prosthetic heart valves before starting his faculty appointment in 2004.
Dr Manning and his research team study flow associated with cardiovascular devices (e.g., blood pumps, valves, IVC filters, cannulae, thrombectomy devices, and ECMO). His group also studies how clotting occurs with these devices and is developing a computational model to predict clot formation and embolization. His research has been sponsored by the National Institutes of Health, National Science Foundation, American Heart Association, U.S. Food and Drug Administration, Department of Defense, Grace Woodward Foundation, and industry. He holds fellow status in the American Institute for Medical and Biological Engineering and the American Society of Mechanical Engineers.