A data-driven modeling method to analyze cardiomyocyte impedance data

Levy Batista (1, 2, 3) , Thierry Bastogne (1, 2, 3) , Franck Atienzar (4) , Annie Delaunois (4) , Jean-Pierre Valentin (4)

1 CYBERnano [Villers-lès-Nancy]
2 CRAN - Centre de Recherche en Automatique de Nancy
3 BIGS - Biology, genetics and statistics
4 UCB Pharma S.A.[Braine-l'Alleud]

One goal of the Comprehensive in vitro ProArrhythmia Assay initiative is to predict more accurately potentially torsadogenic compounds in an earlier stage of drug development. To that aim one of the CiPA component is to assess capabilities of label-free in vitro assays (impedance and extracellular field potential signals) applied to human stem cell-derived cardiomyocytes.

Domaines: Traitement du signal et de l'image [eess.SP]; Applications [stat.AP]; Cardiologie et système cardiovasculaire; Pharmacologie

Levy Batista, Thierry Bastogne, Franck Atienzar, Annie Delaunois, Jean-Pierre Valentin. A data-driven modeling method to analyze cardiomyocyte impedance data. Safety Pharmacology Society 2017 Annual Meeting, SPS 2017, Sep 2017, Berlin, Germany. ⟨hal-01670012⟩