Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Julie Uv"'
Autor:
Mary M. Maleckar, Lena Myklebust, Julie Uv, Per Magne Florvaag, Vilde Strøm, Charlotte Glinge, Reza Jabbari, Niels Vejlstrup, Thomas Engstrøm, Kiril Ahtarovski, Thomas Jespersen, Jacob Tfelt-Hansen, Valeriya Naumova, Hermenegild Arevalo
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Background: Remodeling due to myocardial infarction (MI) significantly increases patient arrhythmic risk. Simulations using patient-specific models have shown promise in predicting personalized risk for arrhythmia. However, these are computationally-
Externí odkaz:
https://doaj.org/article/ba337637c73442f38f506a71d7c4dc66
PO-01-207 VERNIX CASEOSA DISTRIBUTION MODULATES NON-INVASIVE FETAL ECG SIGNAL: A COMPUTATIONAL STUDY
Publikováno v:
Heart Rhythm. 20:S160
Publikováno v:
Simula SpringerBriefs on Computing ISBN: 9783031054655
Manual contact tracing has been a key component in controlling the outbreak of the COVID-19 pandemic. The identification and isolation of close contacts of confirmed cases have successfully interrupted transmission chains and reduced the disease spre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07df3af98233ac42caf587b776c1040
https://doi.org/10.1007/978-3-031-05466-2_6
https://doi.org/10.1007/978-3-031-05466-2_6
Autor:
Lena Myklebust, Hermenegild Arevalo, Thomas Engstrøm, Per Magne Florvaag, Thomas Jespersen, Jacob Tfelt-Hansen, Charlotte Glinge, Kiril Aleksov Ahtarovski, Julie Uv, Vilde Strøm, Reza Jabbari, Valeriya Naumova, Niels Vejlstrup, Mary M. Maleckar
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Maleckar, M M, Myklebust, L, Uv, J, Florvaag, P M, Strøm, V, Glinge, C, Jabbari, R, Vejlstrup, N, Engstrøm, T, Ahtarovski, K, Jespersen, T, Tfelt-Hansen, J, Naumova, V & Arevalo, H 2021, ' Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients ', Frontiers in Physiology, vol. 12, 745349 . https://doi.org/10.3389/fphys.2021.745349
Maleckar, M M, Myklebust, L, Uv, J, Florvaag, P M, Strøm, V, Glinge, C, Jabbari, R, Vejlstrup, N, Engstrøm, T, Ahtarovski, K, Jespersen, T, Tfelt-Hansen, J, Naumova, V & Arevalo, H 2021, ' Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients ', Frontiers in Physiology, vol. 12, 745349 . https://doi.org/10.3389/fphys.2021.745349
Background: Remodeling due to myocardial infarction (MI) significantly increases patient arrhythmic risk. Simulations using patient-specific models have shown promise in predicting personalized risk for arrhythmia. However, these are computationally-
Autor:
Mary M, Maleckar, Lena, Myklebust, Julie, Uv, Per Magne, Florvaag, Vilde, Strøm, Charlotte, Glinge, Reza, Jabbari, Niels, Vejlstrup, Thomas, Engstrøm, Kiril, Ahtarovski, Thomas, Jespersen, Jacob, Tfelt-Hansen, Valeriya, Naumova, Hermenegild, Arevalo
Publikováno v:
Frontiers in Physiology
Background: Remodeling due to myocardial infarction (MI) significantly increases patient arrhythmic risk. Simulations using patient-specific models have shown promise in predicting personalized risk for arrhythmia. However, these are computationally-
Autor:
Marion Lechable, Alexandre Jan, Axel Duchene, Julie Uveira, Brandon Weissbourd, Loann Gissat, Sophie Collet, Laurent Gilletta, Sandra Chevalier, Lucas Leclère, Sophie Peron, Carine Barreau, Régis Lasbleiz, Evelyn Houliston, Tsuyoshi Momose
Publikováno v:
Biology Open, Vol 9, Iss 11 (2020)
The jellyfish species Clytia hemisphaerica (Cnidaria, Hydrozoa) has emerged as a new experimental model animal in the last decade. Favorable characteristics include a fully transparent body suitable for microscopy, daily gamete production and a relat
Externí odkaz:
https://doaj.org/article/1cd4021fd22a44268b7661c9fc10b751
Autor:
Gonzalo Quiroga Artigas, Pascal Lapébie, Lucas Leclère, Philipp Bauknecht, Julie Uveira, Sandra Chevalier, Gáspár Jékely, Tsuyoshi Momose, Evelyn Houliston
Publikováno v:
PLoS Biology, Vol 18, Iss 3, p e3000614 (2020)
The reproductive hormones that trigger oocyte meiotic maturation and release from the ovary vary greatly between animal species. Identification of receptors for these maturation-inducing hormones (MIHs) and understanding how they initiate the largely
Externí odkaz:
https://doaj.org/article/9e147622cc09439d921137e3ba72c80f