Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability

YN Fuadah, AI Qauli, A Marcellinus… - Frontiers in …, 2023 - frontiersin.org
Introduction: Predicting ventricular arrhythmia Torsade de Pointes (TdP) caused by drug-
induced cardiotoxicity is essential in drug development. Several studies used single …

Considering population variability of electrophysiological models improves the in silico assessment of drug-induced torsadogenic risk

J Llopis-Lorente, B Trenor, J Saiz - Computer Methods and Programs in …, 2022 - Elsevier
Abstract Background and Objective In silico tools are known to aid in drug cardiotoxicity
assessment. However, computational models do not usually consider electrophysiological …

Action potential morphology accurately predicts proarrhythmic risk for drugs with potential to prolong cardiac repolarization

W Lee, B Ng, MM Mangala, MD Perry… - Circulation …, 2023 - Am Heart Assoc
BACKGROUND: Drug-induced or acquired long QT syndrome occurs as a result of the
unintended disruption of cardiac repolarization due to drugs that block cardiac ion channels …

[HTML][HTML] Combining pharmacokinetic and electrophysiological models for early prediction of drug-induced arrhythmogenicity

J Llopis-Lorente, S Baroudi, K Koloskoff… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective In silico methods are gaining attention for predicting
drug-induced Torsade de Pointes (TdP) in different stages of drug development. However …

Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases

C Nicolò, F Sips, C Vaghi, A Baretta, V Carbone… - Annals of Biomedical …, 2023 - Springer
The use of in silico trials is expected to play an increasingly important role in the
development and regulatory evaluation of new medical products. Among the advantages …

From multiscale biophysics to digital twins of tissues and organs: future opportunities for in-silico pharmacology

MT Barros, M Paci, A Tervonen… - … Biological, and Multi …, 2024 - ieeexplore.ieee.org
With many advancements in in silico multiscale biology in recent years, the paramount
challenge is to translate the accumulated knowledge into exciting industry partnerships and …

Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With in silico Deterministic Model Outputs

Y Yoo, A Marcellinus, DU Jeong, KS Kim… - Frontiers in …, 2021 - frontiersin.org
As part of the Comprehensive in vitro Proarrhythmia Assay initiative, methodologies for
predicting the occurrence of drug-induced torsade de pointes via computer simulations have …

Application of convolutional neural networks using action potential shape for in-silico proarrhythmic risk assessment

DU Jeong, Y Yoo, A Marcellinus, KM Lim - Biomedicines, 2023 - mdpi.com
This study proposes a convolutional neural network (CNN) model using action potential (AP)
shapes as input for proarrhythmic risk assessment, considering the hypothesis that machine …

Occurrence of early afterdepolarization under healthy or hypertrophic cardiomyopathy conditions in the human ventricular endocardial myocyte: In silico study using …

B Christophe - Toxicology and Applied Pharmacology, 2022 - Elsevier
The goal of the CiPA initiative (Comprehensive in vitro Proarrhythmia Assay) was to assess
a more accurate prediction of new drug candidate proarrhythmic severe liabilities such as …

[HTML][HTML] Insights from an electro-mechanical heart failure cell model: Role of SERCA enhancement on arrhythmogenesis and myocyte contraction

MT Mora, A Zaza, B Trenor - Computer Methods and Programs in …, 2023 - Elsevier
Background and objective Structural and electrical remodeling in heart failure predisposes
the heart to ventricular arrhythmias. Computer modeling approaches, used to complement …