Research interests

 Personalized medicine for patients with the Long QT Syndrome

specialisation

Experimental Cardiology

Research output

  1. A deep learning approach identifies new ECG features in congenital long QT syndrome

    Research output: Contribution to journal › Article › Academic › peer-review

  2. A phenotype-enhanced variant classification framework to decrease the burden of missense variants of uncertain significance in type 1 long QT syndrome

    Research output: Contribution to journal › Article › Academic › peer-review

  3. Enhancing rare variant interpretation in inherited arrhythmias through quantitative analysis of consortium disease cohorts and population controls

    Research output: Contribution to journal › Article › Academic › peer-review

View all (3) »

ID: 5143347