Unbreak My Heart: Progress Towards Personalized Arrhythmia Treatment-Understanding Stem Cell-Derived Cardiomyocytes via Computational Modeling (Presenter: StefanoSeveri, PhD)

Understanding Stem Cell-Derived Cardiomyocytes via Computational Modeling (Presenter: StefanoSeveri, PhD)

Video Transcription

Video Summary

In this transcript, the speaker discusses the use of computational modeling to understand the electrical activity of stem cell-derived cardiomyocytes. Specifically, the focus is on human-induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). The speaker explains that iPSC-CMs show differences in morphology and electrical activity compared to adult cardiomyocytes, including spontaneous electrical activity due to a different balance of underlying currents. The speaker then describes the computational model they have developed to simulate the electrical activity of iPSC-CMs, which includes equations describing the kinetics of various currents. The model is used to gain understanding and make predictions about iPSC-CMs, such as the mechanism underlying spontaneous beating and the response to drug effects. The speaker also discusses the limitations of computational models and highlights the need for integration with experimental data. Overall, computational modeling can provide valuable insights into iPSC-CMs and should be used in conjunction with experimental studies.

Meta Tag

Lecture ID 4583

Location Room 213

Presenter StefanoSeveri, PhD

Role Invited Speaker

Session Date and Time May 10, 2019 10:30 AM - 12:00 PM

Session Number S-053

Keywords

computational modeling

stem cell-derived cardiomyocytes

human-induced pluripotent stem cells

electrical activity

spontaneous beating