University of California San Diego
Engineering methods provide systematic and quantitative assessments which can revolutionize current clinical protocols (which have mostly been developed empirically) towards patient care. Treatment design, efficacy prediction, and medical device setting could all be carefully derived using computational modeling or experimental testing, with zero risk to the patient. However, a fluid integration of clinical interpretation and engineering investigation is required to achieve this goal.
This talk will present several aspects of combined clinical, experimental, and computational approaches towards cardiovascular medicine. I will present the current state-of-the-art in integrating 3 types of engineering tools: 1) Systemic physiology models, 2) Multi-scale CFD modeling, and 3) Benchtop experimental techniques, for investigating cardiovascular systems and medical devices. First, I will present a sophisticated modeling protocol which captures exercise physiology in single-ventricle patients to provide a platform for investigating related pathophysiologies and forming hypotheses to address clinical questions. Second, the use of multi-scale modeling to investigate vascular surgical options demonstrates a potential protocol for the inclusion of simulation results in surgical decision-making. Third, physiologically realistic in-vitro experimentations provide validation support for computational models, as well as platforms for direct evaluation of medical devices. I will present a unique workflow to effectively integrate these engineering tools, the potentials of their clinical translations and utilities, and how they will likely impact the future of cardiovascular diagnostics and treatment planning, as well as medical device design and testing.
Ethan Kung is currently a postdoctoral scholar at the University of California San Diego in the Mechanical and Aerospace Engineering department, and funded by an American Heart Association postdoctoral fellowship award. He received his Bachelor's degree in Electrical Engineering from Queen's University (Ontario, Canada) in 2003, and MS and PhD in Bioengineering from Stanford University in 2006 and 2010, respectively. He has a breath of expertise ranging from cardiovascular physiology, CFD modeling, medical imaging, to in-vitro experimentations.
Friday, May 16, 2014
132 Fluor Daniel Building