Vascular Bioengineering Lab Receives Funding to Track Aneurysms and Predict Rupture
David Vorp, Timothy Chung, and Nathan Liang will use a $100K award from PreMIC to advance the lab’s aneurysm prognosis classifier
The Vascular Bioengineering Lab (VBL) at the University of Pittsburgh’s Swanson School of Engineering seeks to understand and develop solutions to the causes and effects of disease in tubular tissue and organs. Part of this research includes a closer look at abdominal aortic aneurysms (AAA) — the 15th leading cause of death in the United States.
An AAA occurs when the aorta weakens and begins to irreversibly dilate, like a slowly inflating balloon. If left untreated, the risk of rupture increases and has a 90 percent rate of mortality.
The VBL team is working to develop a new model to better predict at-risk patients and are using tools from the lab to perform shape analysis and biomechanical simulations. They will use these data to train a machine learning algorithm to classify different types of aneurysm outcomes. This classifier will be used to develop a predictive model that can help guide clinicians and determine the need for surgical intervention.
Read more about the Aneurysm Prognosis Classifier in the Pittsburgh Health Data Alliance blog.
“Most medical treatments are based on how they will affect the average patient, but in fact, each of us is very different from one another. Being able to understand and predict how a specific person's aneurysm will grow based on their own unique characteristics is a big leap forward,” said Nathan Liang, assistant professor of surgery in Pitt’s School of Medicine, vascular surgeon at UPMC, and co-investigator on the project.
“This wasn't possible in the past, but now with better machine learning algorithms and increasingly powerful computers, we are close to making this a reality. Our classifier will allow clinicians and patients to work together, create individualized management plans, and improve the care for those with abdominal aortic aneurysms.”
Related news: Using a Machine Model to Predict Risk of Human Aneurysms.
The team received a $100,000 award from Precision Medicine Initiative for Commercialization (PreMIC), a collaboration between Pitt’s Institute for Precision Medicine, sciVelo, and the Innovation Institute. Funding for PreMIC comes from a RK Mellon Foundation grant to the Institute for Precision Medicine that in part provides critical funding to early-stage translational science projects.
“Our initial pilot study to develop the aneurysm prognosis classifier revealed the importance of additional interrogation of medical images using biomechanical and morphological analyses,” said Timothy Chung, a postdoctoral associate in the Vascular Bioengineering Lab who will help lead the project. “Utilizing a strong research team and collaborations offered at Pitt, we aim to improve and personalize AAA patient healthcare.”