Congratulations to Amber Zih-Hua Chen, B.S., M.S., whose abstract entitled “Artificial Intelligence Can Identify Risk of Death in COVID-19 Patients Using 12-lead Intake Electrocardiogram Alone” was accepted for presentation at the 2021 HRS Meeting, to be held this July in Boston MA. At the outset of the ongoing pandemic, we assembled an international (US, Denmark, Norway) team of researchers from four hospitals and collected over 1500 hospital intake ECGs from patients with COVID-19. We are now writing our first manuscript on the topic. This is a nice example of how our lab’s work can bridge divides between clinicians, computer scientists, and engineers working towards common goals. We are thrilled to be presenting this abstract in the feature poster session at HRS!
Our second accepted abstract is by Alejandro Gonzalo, a postdoctoral fellow working with our new collaborator from UW Mechanical Engineering, Dr. Juan Carlos del Alamo. This work is part of an exciting new collaboration between the CardSS Lab, Dr. del Alamo’s group, Dr. Nazem Akoum from UW Cardiology, and our colleagues in the Computational Cardiology Lab at the Medical University of Graz. We are developing a methodology to comprehensively simulate human atrial physiology in a multi-scale, multi-physics manner. Our ambitious goal is to reveal how structural damage in the heart creates a milieu that leads to embolic stroke, which will give us a powerful set of tools to identify patients at risk for this type of catastrophic event. Congratulations Alex, and welcome to the exciting world of EP! 🙂
Lastly, we are excited that Dr. Gonzalo and 3rd-year PhD student Savannah Bifulco, B.S. will both be attending the conference on full-ride travel scholarships courtesy of HRS. Applications for these awards are highly competitive and this is a great achievement. Way to go CardSS Lab!