Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Henry, Joutsijoki"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 46, Iss , Pp 101480- (2024)
Machine learning that is the vital part of modern artificial intelligence was used to classify the potential effects of two drugs on induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM). Peak data were detected from calcium transient signal
Externí odkaz:
https://doaj.org/article/43f3f529259e4ac9bd7e90582269055a
Autor:
Teemu Pätsi, Markku Ohenoja, Harri Kukkasniemi, Tero Vuolio, Petri Österberg, Seppo Merikoski, Henry Joutsijoki, Mika Ruusunen
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 6945 (2023)
Well-performing control loops have an integral role in efficient and sustainable industrial production. Control performance monitoring (CPM) tools are necessary to establish further process optimization and preventive maintenance. Data-driven, model-
Externí odkaz:
https://doaj.org/article/4d8bbcd192a04e459c9ea08f95ecc27f
Publikováno v:
Informatics in Medicine Unlocked, Vol 14, Iss , Pp 15-22 (2019)
Human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) have been shown to be useful to improve techniques that are developed for the study of cardiac disease. Abnormalities in Ca2+ transients are commonly present in iPSC-CMs derived fr
Externí odkaz:
https://doaj.org/article/f46446fc6da94c3798f2f199fc09f309
Autor:
Ruusunen, Teemu Pätsi, Markku Ohenoja, Harri Kukkasniemi, Tero Vuolio, Petri Österberg, Seppo Merikoski, Henry Joutsijoki, Mika
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 6945
Well-performing control loops have an integral role in efficient and sustainable industrial production. Control performance monitoring (CPM) tools are necessary to establish further process optimization and preventive maintenance. Data-driven, model-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::131e93d86b274712af6a0dd07643b241
Publikováno v:
International Journal of Imaging Systems and Technology. 32:1822-1831
In this article, we consider data complexity in the context of calcium transient signal data collected from induced pluripotent stem cell-derived cardiomyocytes. We present a novel way to measure data complexity based on the nearest neighbour searchi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354e15e7d7d03258c69493b1e8ca0d4f
https://doi.org/10.1002/ima.22760
https://doi.org/10.1002/ima.22760
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00bd4840fc03fe6f24630c73cf8f2b8a
https://doi.org/10.22489/cinc.2022.167
https://doi.org/10.22489/cinc.2022.167
Publikováno v:
Applied Computing and Informatics, Vol 10, Iss 1, Pp 52-67 (2014)
In one of our earlier studies we noticed how straightforward cleaning of our medical data set impaired its classification results considerably with some machine learning methods, but not all of them, unexpectedly and against intuition compared to the
Externí odkaz:
https://doaj.org/article/52e81d8f934a4983a238a885e0d62c26
Publikováno v:
Annals of Biomedical Engineering
Patient-specific induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) offer an attractive experimental platform to investigate cardiac diseases and therapeutic outcome. In this study, iPSC-CMs were utilized to study their calcium transient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ce6fae382fe0e037356f327f1b71cd0
https://doi.org/10.1007/s10439-020-02521-0
https://doi.org/10.1007/s10439-020-02521-0