Physiologically relevant 3D in vitro models of the heart and a machine learning approach to identify genes involved in the cardiac maturation

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Bibliographic Details
Main Authors:	Camilla Soragni, Jana-Ch Hegenbarth, Giulia Spanò, Federica De Majo, Servé Olieslagers, Dena Esfandyari Shahvar, Malte Tiburcy, Wolfram H. Zimmermann, Monika Stoll, Leon J. De Windt
Format:	Article
Language:	English
Published:	Elsevier 2024-11-01
Series:	Journal of Molecular and Cellular Cardiology Plus
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772976124000515
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