eLife

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1. Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins

   This article has 12 authors:

   1. Yingnan Zhang
   2. Kelly Zhang
   3. Adityo Prakosa
   4. Cynthia James
   5. Stefan L Zimmerman
   6. Richard Carrick
   7. Eric Sung
   8. Alessio Gasperetti
   9. Crystal Tichnell
   10. Brittney Murray
   11. Hugh Calkins
   12. Natalia A Trayanova

   This article has been curated by 1 group:

   • Curated by eLife

     eLife assessment

     This important study brings together a clear application of the digital twin approach to make predictions using patient specific models with different genotypes. The data are compelling and go beyond the current state-of-the-art to support proof-of-principle evidence. Given the low subject numbers, further studies will be required going forward to support the veracity of the data and its translational utility.

   Reviewed by eLife

2. We couldn't get details of this article at this time:
   10.1101/2023.06.07.543722

3. We couldn't get details of this article at this time:
   10.1101/2023.05.12.540491

4. We couldn't get details of this article at this time:
   10.1101/2023.04.19.537477

5. We couldn't get details of this article at this time:
   10.1101/2021.12.14.472499

6. We couldn't get details of this article at this time:
   10.1101/2023.05.04.538701

7. We couldn't get details of this article at this time:
   10.1101/2023.04.25.537217

8. We couldn't get details of this article at this time:
   10.1101/2023.04.18.537280

9. We couldn't get details of this article at this time:
   10.1101/2023.02.02.526886

10. We couldn't get details of this article at this time:
    10.1101/2023.05.25.542257