Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Mary M. Maleckar\\'"'
Autor:
Lena Myklebust, Giulia Monopoli, Gabriel Balaban, Eivind Westrum Aabel, Margareth Ribe, Anna Isotta Castrini, Nina Eide Hasselberg, Cecilie Bugge, Christian Five, Kristina Haugaa, Mary M. Maleckar, Hermenegild Arevalo
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
BackgroundThe electrophysiological mechanism connecting mitral valve prolapse (MVP), premature ventricular complexes and life-threatening ventricular arrhythmia is unknown. A common hypothesis is that stretch activated channels (SACs) play a signific
Externí odkaz:
https://doaj.org/article/3424288320c54787835517a62a985267
Fibrosis modeling choice affects morphology of ventricular arrhythmia in non-ischemic cardiomyopathy
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Introduction: Patients with non-ischemic cardiomyopathy (NICM) are at risk for ventricular arrhythmias, but diagnosis and treatment planning remain a serious clinical challenge. Although computational modeling has provided valuable insight into arrhy
Externí odkaz:
https://doaj.org/article/0573d2ec94544b52b0d7b1caad67b141
Autor:
Arun R. Sridhar, MBBS, MPH, Zih-Hua Chen (Amber), MS, Jacob J. Mayfield, MD, Alison E. Fohner, PhD, Panagiotis Arvanitis, MD, Sarah Atkinson, BS, Frieder Braunschweig, MD, PhD, Neal A. Chatterjee, MD, MSc, Alessio Falasca Zamponi, MD, Gregory Johnson, PhD, Sanika A. Joshi, Mats C.H. Lassen, MD, Jeanne E. Poole, MD, FHRS, Christopher Rumer, BS, Kristoffer G. Skaarup, MD, Tor Biering-Sørensen, MD, PhD, MPH, Carina Blomstrom-Lundqvist, MD, PhD, Cecilia M. Linde, MD, PhD, Mary M. Maleckar, PhD, Patrick M. Boyle, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 2, Pp 62-74 (2022)
Background: Adverse events in COVID-19 are difficult to predict. Risk stratification is encumbered by the need to protect healthcare workers. We hypothesize that artificial intelligence (AI) can help identify subtle signs of myocardial involvement in
Externí odkaz:
https://doaj.org/article/6316a0a9cdc74dc7af37d360fe026757
Autor:
Vajira Thambawita, Jonas L. Isaksen, Steven A. Hicks, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Inga Strümke, Hugo L. Hammer, Mary M. Maleckar, Pål Halvorsen, Michael A. Riegler, Jørgen K. Kanters
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to rep
Externí odkaz:
https://doaj.org/article/083a56ecd10843639b0fa258ef14862d
Autor:
Steven A. Hicks, Jonas L. Isaksen, Vajira Thambawita, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Inga Strümke, Christina Ellervik, Morten Salling Olesen, Torben Hansen, Claus Graff, Niels-Henrik Holstein-Rathlou, Pål Halvorsen, Mary M. Maleckar, Michael A. Riegler, Jørgen K. Kanters
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Deep learning-based tools may annotate and interpret medical data more quickly, consistently, and accurately than medical doctors. However, as medical doctors are ultimately responsible for clinical decision-making, any deep learning-based p
Externí odkaz:
https://doaj.org/article/6f83e0ec46bc41759fd87f303ddffe2e
Autor:
Rory M Donovan-Maiye, Jackson M Brown, Caleb K Chan, Liya Ding, Calysta Yan, Nathalie Gaudreault, Julie A Theriot, Mary M Maleckar, Theo A Knijnenburg, Gregory R Johnson
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1, p e1009155 (2022)
We introduce a framework for end-to-end integrative modeling of 3D single-cell multi-channel fluorescent image data of diverse subcellular structures. We employ stacked conditional β-variational autoencoders to first learn a latent representation of
Externí odkaz:
https://doaj.org/article/01a428aaa62048a293fee6809efd8248
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
Autor:
Karoline Horgmo Jæger, Verena Charwat, Bérénice Charrez, Henrik Finsberg, Mary M. Maleckar, Samuel Wall, Kevin E. Healy, Aslak Tveito
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2020)
Cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) hold great potential for drug screening applications. However, their usefulness is limited by the relative immaturity of the cells’ electrophysiological properties as comp
Externí odkaz:
https://doaj.org/article/27f371634cb1449b8021351a68f2a484
Autor:
Herrera, Nathaniel T., Xianwei Zhang, Haibo Ni, Mary M. Maleckar, Heijman, Jordi, Dobrev, Dobromir, Grandi, Eleonora, Morotti, Stefano
Publikováno v:
American Journal of Physiology: Heart & Circulatory Physiology; Oct2023, Vol. 325 Issue 4, p896-908, 13p
Publikováno v:
Computational Physiology ISBN: 9783031253737
Osteoarthritis (OA), a progressive degenerative disease of cartilage in joints, is the most common cause of chronic disability in older adults. While OA is mostly considered an age-related pathology, women have a 1.5-fold higher risk of developing OA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88a36aa53eb828b00f0912376ed67f26
https://doi.org/10.1007/978-3-031-25374-4_3
https://doi.org/10.1007/978-3-031-25374-4_3
