Assessing ion channel blockade and electromechanical biomarkers’ interrelations through a novel Multi-Channel Causal Variational Autoencoder

Drug-induced Torsade de pointes (TdP) is a critical arrhythmia that can lead to sudden cardiac death. This study aims to employ a novel Multi-Channel Causal Variational Autoencoder (MC2VAE), to identify causal relationships between ionic currents blockades, torsadogenic indices, and electrophysiological biomarkers, considered as three distinct sources of information (channels) for drug-induced TdP risk. We consider the downstream task of drug classification for TdP risk on the latent channels and show a clear improvement of classification performances when combining the three considered channels.

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Recommended citation: Al-Ali S., Mora M. T., Sermesant M., Trénor B., Balelli I. (2024). Assessing ion channel blockade and electromechanical biomarkers’ interrelations through a novel Multi-Channel Causal Variational Autoencoder. IEEE Xplore2024 - Computing in Cardiology (CinC) 2024.