QT Fingerprinting

The Nova team has developed a highly predictive model for detecting QTc changes using ion channel data, known as QT Fingerprinting. By using this model, millisecond changes in QTc can be calculated instead of ranking or placing compounds into disk categories.

  • Can accurately predict whether a compound will have a positive clinical TQT finding before in vivo studies are conducted
  • Provides an in silico TQT study with a diverse simulated patient population
  • Can predict QTc shortening and prolongation

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