Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes

Martti Juhola; Henry Joutsijoki; Kirsi Penttinen; Katriina Aalto-Setälä

doi:10.1016/j.imu.2025.101631

Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes

Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, Katriina Aalto-Setälä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

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Alkuperäiskieli	Englanti
Artikkeli	101631
Sivumäärä	13
Julkaisu	Informatics in Medicine Unlocked
Vuosikerta	54
DOI - pysyväislinkit	https://doi.org/10.1016/j.imu.2025.101631
Tila	Julkaistu - 9 maalisk. 2025
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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10.1016/j.imu.2025.101631Lisenssi: CC BY

Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytesFinal published version, 1,21 MBLisenssi: CC BY

https://urn.fi/URN:NBN:fi:tuni-202503112693Lisenssi: CC BY

Siteeraa tätä

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title = "Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes",

keywords = "Cardiac diseases, Drugs, Human induced pluripotent stem cell-derived cardiomyocytes, Machine learning methods, Classification",

author = "Martti Juhola and Henry Joutsijoki and Kirsi Penttinen and Katriina Aalto-Set{\"a}l{\"a}",

year = "2025",

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T1 - Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes

AU - Juhola, Martti

AU - Joutsijoki, Henry

AU - Penttinen, Kirsi

AU - Aalto-Setälä, Katriina

PY - 2025/3/9

Y1 - 2025/3/9

KW - Cardiac diseases

KW - Drugs

KW - Human induced pluripotent stem cell-derived cardiomyocytes

KW - Machine learning methods

KW - Classification

U2 - 10.1016/j.imu.2025.101631

DO - 10.1016/j.imu.2025.101631

M3 - Article

SN - 2352-9148

VL - 54

JO - Informatics in Medicine Unlocked

JF - Informatics in Medicine Unlocked

M1 - 101631

ER -