Separation of HCM and LQT Cardiac Diseases with Machine Learning of Ca2+ Transient Profiles.
Journal:
Methods of information in medicine
Published Date:
Feb 20, 2020
Abstract
BACKGROUND: Modeling human cardiac diseases with induced pluripotent stem cells not only enables to study disease pathophysiology and develop therapies but also, as we have previously showed, it can offer a tool for disease diagnostics. We previously observed that a few genetic cardiac diseases can be separated from each other and healthy controls by applying machine learning to Ca transient signals measured from iPSC-derived cardiomyocytes (CMs).