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Journal of Molecular and Cellular Cardiology Plus
(Nov 2024)
Physiologically relevant 3D in vitro models of the heart and a machine learning approach to identify genes involved in the cardiac maturation
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
Affiliations
Camilla Soragni
Maastricht University – Netherlands
Jana-Ch Hegenbarth
Maastricht University – Netherlands
Giulia Spanò
Maastricht University – Netherlands
Federica De Majo
Maastricht University – Netherlands
Servé Olieslagers
Maastricht University – Netherlands
Dena Esfandyari Shahvar
Maastricht University – Netherlands
Malte Tiburcy
Maastricht University – Netherlands
Wolfram H. Zimmermann
Maastricht University – Netherlands
Monika Stoll
Maastricht University – Netherlands
Leon J. De Windt
Maastricht University – Netherlands
Journal volume & issue
Vol. 10
p. 100111
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