Half of the patients suffering from atrial fibrillation (AF) cannot be treated adequately
today. This book presents multi-scale computational methods to advance our understanding of
patho-mechanisms to improve the diagnosis of patients harboring an arrhythmogenic substrate
and to tailor therapy. The modeling pipeline ranges from ion channels on the subcellular level
up to the ECG on the body surface. The tailored therapeutic approaches carry the potential to
reduce the burden of AF.
