Focus: Computational Modeling
Cardiac arrhythmias remain a major cause of death and disability. Current antiarrhythmic therapies are effective to only a limited extent, likely due to their mechanism-independent approach. Precision cardiology aims to deliver targeted therapy for an individual patient to maximize efficacy and minimize adverse effects. In-silico digital twins have emerged as a promising strategy to realize the vision of precision cardiology. While there is no uniform definition of a digital twin, it typically employs digital tools, including simulations of mechanistic computer models based on patient-specific clinical data, to understand arrhythmia mechanisms and make clinically relevant predictions. Although routine clinical application has not been achieved for cardiac arrhythmia management, significant progress towards digital twins for cardiac electrophysiology has been made in recent years. Challenges remain, but overcoming them may allow digital twins to enable a significant precision medicine-based advancement in cardiac arrhythmia management, including personalized ablation strategies.
Language:English
Host: Rodrigo Weber dos Santos
Lecturer: Fernando Otaviano Campos (Kings College London -UK)
Mode of instruction : Science Center, Auditorium 1
Courseload: 1h
Date&Time:Jul 29, 10-11am
Target audience: undergraduate and graduate students
Spots available: 60
Sustainable Development Goals (SDG): 3, 4 and 9