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A deep learning platform to assess drug proarrhythmia risk

Cell stem cell(2022)10.1016/j.stem.2022.12.002Source: DataRank Database

A deep learning platform to assess drug proarrhythmia risk is a research paper published in Cell stem cell (2022). On theSindex it has a DataRank of 0. It has been cited 29 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access29 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 3.08)OA: greenTopics (49)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (12)

Dries Feyen,Arne A.N. Bruyneel ORCID,Anna P. Hnatiuk ORCID,Michelle M. Vu ORCID,Prashila Amatya ORCID

Live enrichment

PubMed:36563695 PMC:PMC9924077 OpenAlex:https://openalex.org/W4312193325

American Heart Association

Grant: 17MERIT33610009

American Heart Association

Grant: R01HL139679

American Heart Association

Grant: R01HL150414

Fondation Leducq

Grant: P01HL141084

Fondation Leducq

Grant: 18CVD01

Fondation Leducq

Grant: 18CVD05

NIH

Grant: R01HL138539

NIH

Grant: 1R01HL152055

NIH

Grant: R01HL141358

NIH

Grant: 1R42HL158510

NIH

Grant: R01HL130840

EU Framework Programme for Research and Innovation Marie Sklodowska-Curie Actions

Grant: 708459

Cardiac micro-engineered tissue for high-throughput screening

NIH HHS

Grant: S10 OD030264

NIEHS NIH HHS

Grant: P01 ES016738

NHLBI NIH HHS

Grant: R42 HL158510

NHLBI NIH HHS

Grant: R01 HL152055

Horizon 2020 Framework Programme

Horizon 2020

FWCI

3.08

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

greenLicense: Elsevier Non-Commercial

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9924077

publisherhttps://api.elsevier.com/content/article/PII:S1934590922004866?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1934590922004866?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.stem.2022.12.002

Fields of Study

Cardiovascular Effects of ExerciseCardiac electrophysiology and arrhythmiasCardiac pacing and defibrillation studies0301 basic medicine03 medical and health sciences0302 clinical medicineHumansDeep LearningArrhythmias, CardiacTorsades de PointesInduced Pluripotent Stem CellsAction PotentialsMyocytes, Cardiac

MeSH Terms

Deep LearningAction PotentialsArrhythmias, CardiacHumansTorsades de PointesMyocytes, CardiacInduced Pluripotent Stem Cells

Keywords

ProarrhythmiaDrugCardiac arrhythmiaBiologyConvolutional neural networkPharmacologyDeep learningInternal medicineComputational biologyBioinformaticsMachine learningMedicineComputer scienceAtrial fibrillationIntelligenceDrug screeningCardiomyocytesArtificialAIInduced Pluripotent Stem CellsCipaIpscSafety PharmacologyDrug-induced ArrhythmiaTorsades de PointesHumansAction PotentialsArrhythmias, CardiacMyocytes, Cardiac

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being