Showing 3 Abstracts.
01 : 15 PM
Enhancing Cardiac Arrest Registries and Research – A Framework for Handling Defibrillator Data
Orlob Simon, Holler Martin, Wnent Jan, Graesner Jan-thorsten, Kern Wolfgang, Hackl Benjamin, Eichlseder Michael, Klivinyi Christoph, Putzer Gabriel, Schreiber Nikolaus, Bohn Andreas, Martini Judith
Final Pr. ID: Su806
Authors: Orlob Simon , Holler Martin , Wnent Jan , Graesner Jan-thorsten , Kern Wolfgang , Hackl Benjamin , Eichlseder Michael , Klivinyi Christoph , Putzer Gabriel , Schreiber Nikolaus , Bohn Andreas , Martini Judith
Keywords: Cardiac arrest, Defibrillator, Data standards, Research, Deep learning
04 : 30 PM
In Vivo Partial Reprogramming of Cardiomyocytes to a Molecularly Rejuvenated State Ameliorates Cardiac Failure
De Lazaro Irene, Zhang Bohan, Makarova Nadezhda, Mariotti Marco, Gladyshev Vadim, Mooney David
Final Pr. ID: We010
Authors: De Lazaro Irene , Zhang Bohan , Makarova Nadezhda , Mariotti Marco , Gladyshev Vadim , Mooney David
Keywords: Stem/progenitor cells, Heart failure, Deep learning
Neri Luca, Halperin Henry, Oberdier Matt, Orro Alessandro, Carrick Richard, Nobile Marco S., Jaipalli Sujai, Khan Mariam, Diciotti Stefano, Borghi Claudio
Final Pr. ID: Su803
Authors: Neri Luca , Halperin Henry , Oberdier Matt , Orro Alessandro , Carrick Richard , Nobile Marco S. , Jaipalli Sujai , Khan Mariam , Diciotti Stefano , Borghi Claudio
Keywords: Electrocardiography, Cardiac arrest, Artificial Intelligence, Prediction model, Deep learning