ArticleFrontiers in physiology2021
Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Improving In Silico Cardiac Safety Prediction by Consensus Averaging of Transmural Ventricular Cell Models.Annals of biomedical engineering · 2026Article
- A multiscale computational model of cardiac electrophysiology for drug-induced pro-arrhythmic risk stratification.Biomedical engineering letters · 2026Article
- Validation of new AI-based classification method for in silico cardiac safety assessment of drugs following the CiPA framework.Archives of toxicology · 2025Article
- A stacking ensemble machine learning model for evaluating cardiac toxicity of drugs based on in silico biomarkers.CPT: pharmacometrics & systems pharmacology · 2024Article
- Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation.Scientific reports · 2024Article
- Evaluation of cardiac pro-arrhythmic risks using the artificial neural network with ToR-ORdFrontiers in physiology · 2024Article
- Machine learning approach to evaluate TdP risk of drugs using cardiac electrophysiological model including inter-individual variability.Frontiers in physiology · 2023Article
- Assessment of the proarrhythmic effects of repurposed antimalarials for COVID-19 treatment using a comprehensiveFrontiers in pharmacology · 2023Article
- Proarrhythmic risk assessment of drugs by dVCPT: pharmacometrics & systems pharmacology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As part of the Comprehensive
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.