Advancing Aortic Precision Medicine using Deep Learning
ABOUT US
Third Coast Dynamic's cloud-based solution improves the standard-of-care for patients with thoracic aortic disease by delivering hemodynamic assessments directly from low-cost, widely available CT and MR angiography images.
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PUBLICATIONS
Artificial Intelligence Derived Aortic Hemodynamic Biomarkers: Proof of Concept Studies
Berhane H, Maroun A, Allen B and Markl M. Deep-Learning Derived Systolic 3D Aortic Hemodynamics from Aortic Geometry. In Proceedings: Society for Magnetic Resonance Angiography (SMRA), 34th Annual Scientific Sessions. Los Angeles, CA, 2022.
Berhane H, Maroun A, Allen B and Markl M. AI-Derived Systolic 3D Aortic Hemodynamics from Aortic Geometry. In Proceedings: Annual Conference American Roentgen Ray Society (ARRS), Hawaii, 2023.
OUR TEAM
Northwestern University selected Dr. Allen, Dr. Markl along with fellow co-principal investigators Dr. Bagci and Dr. Ragin to receive up to $300,000 in critical seed funding from the Pat & Shirley Ryan Family Research Acceleration fund.
This February, we were awarded first place in MIT's Sloan Healthcare Innovations Prize (SHIP) competition. We're honored to have been chosen among 80 teams to compete with dedicated and brilliant entrepreneurs.
Last April, we were awarded third place in the 2023 Kellogg Healthcare Entrepreneurship Business Plan Competition, our first business pitch competition, with other exciting healthcare start-ups coming out of Northwestern University Kellogg School of Management.
Thank you to the judges for believing in our vision to advance aortic precision medicine.
More competitions to come soon!
TCD
