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Article

A machine learning platform for genotype-specific cardiotoxicity risk prediction using patient-derived iPSC-CMs.

Journal of advanced research - 1 Apr 2026

Park Yun-Gwi, Park Na Kyeong, Lee Youngsun, Pramudito Muhammad Adnan, Son Yeo-Jin, Park Hyeyeon, Qauli Ali Ikhsanul, Choi Seong Woo, Ban Kiwon, Choi Jong-Il, Park Soon-Jung, Park Hun-Jun, Lim Ki Moo, Koo Soo Kyung, Kim Jung-Hyun, Moon Sung-Hwan

Abstract excerpt

INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the market. Individuals with inherited cardiac channelopathies are at increased risk due to their underlying electrophysiological vulnerability. OBJECTIVES: We aimed to develop a machine learning (ML) platform for disease-specific cardiotoxicity using patient-specific induced pluripotent stem cell-derived...

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Share to Cardiotoxicity
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Induced Pluripotent Stem Cells

Share to Long QT Syndrome

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Share to Myocytes, Cardiac

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Identifiers

PMID: 40706985
DOI: 10.1016/j.jare.2025.07.030
PMCID: PMC13001045

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

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