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Annamaria Carusi
Researcher at University of Sheffield
Publications - 72
Citations - 1249
Annamaria Carusi is an academic researcher from University of Sheffield. The author has contributed to research in topics: Computer science & Transparency (behavior). The author has an hindex of 17, co-authored 65 publications receiving 1072 citations. Previous affiliations of Annamaria Carusi include University of South Africa & Norwegian University of Science and Technology.
Papers
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Journal ArticleDOI
Variability in cardiac electrophysiology: Using experimentally−calibrated populations of models to move beyond the single virtual physiological human paradigm.
Anna Muszkiewicz,Oliver J. Britton,Philip Gemmell,Elisa Passini,Carlos Sánchez,Xin Zhou,Annamaria Carusi,T. Alexander Quinn,Kevin Burrage,Alfonso Bueno-Orovio,Blanca Rodriguez +10 more
TL;DR: In this paper, the authors outline the considerations behind constructing an experimentally-calibrated population of models and review the studies that have employed this approach to investigate variability in cardiac electrophysiology in physiological and pathological conditions, as well as under drug action.
Journal Article
Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm
Anna Muszkiewicz,Oliver J. Britton,Philip Gemmell,Elisa Passini,Carlos Sánchez,Xin Zhou,Annamaria Carusi,T. Alexander Quinn,Kevin Burrage,Alfonso Bueno-Orovio,Blanca Rodriguez +10 more
TL;DR: The considerations behind constructing an experimentally-calibrated population of models are outlined, the methodology is described and compared with alternative approaches for studying variability in cardiac electrophysiology, including cell-specific modelling approaches, sensitivity-analysis based methods, and populations-of-models frameworks that do not consider the experimental calibration step.
Journal ArticleDOI
Bridging experiments, models and simulations: an integrative approach to validation in computational cardiac electrophysiology
TL;DR: Computational models in physiology often integrate functional and structural information from a large range of spatio-temporal scales from the ionic to the whole organ level as mentioned in this paper, and their sophistication is often exponential in the complexity of the models.
Posted Content
From Data Archive to Ethical Labyrinth
TL;DR: In this paper, the authors consider the ethical challenges of qualitative data in particular showing what specific ethical challenges qualitative researchers face, and the options for archiving are outlined, and an interdisciplinary approach is recommended.