Unstable eigenmodes are possible drivers for cardiac arrhythmias

por Tveito, Aslak, Lines, Glenn, Skavhaug, Ola, Maleckar, Mary M.
Publicado 2011

In Silico Screening of the Key Cellular Remodeling Targets in Chronic Atrial Fibrillation

por Koivumäki, Jussi T., Seemann, Gunnar, Maleckar, Mary M., Tavi, Pasi
Publicado 2014

DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions

por Vasan, Ritvik, Maleckar, Mary M., Williams, C. David, Rangamani, Padmini
Publicado 2019

Studying dyadic structure–function relationships: a review of current modeling approaches and new insights into Ca(2+) (mis)handling

por Maleckar, Mary M, Edwards, Andrew G, Louch, William E, Lines, Glenn T
Publicado 2017

The Resting Potential and K(+) Currents in Primary Human Articular Chondrocytes

por Maleckar, Mary M., Clark, Robert B., Votta, Bartholomew, Giles, Wayne R.
Publicado 2018

Physiological Effects of the Electrogenic Current Generated by the Na(+)/K(+) Pump in Mammalian Articular Chondrocytes

por Maleckar, Mary M., Martín-Vasallo, Pablo, Giles, Wayne R., Mobasheri, Ali
Publicado 2020

Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy

por Ounkomol, Chawin, Seshamani, Sharmishtaa, Maleckar, Mary M., Collman, Forrest, Johnson, Gregory R.
Publicado 2018

Benchmarking electrophysiological models of human atrial myocytes

por Wilhelms, Mathias, Hettmann, Hanne, Maleckar, Mary M., Koivumäki, Jussi T., Dössel, Olaf, Seemann, Gunnar
Publicado 2013

Computational translation of drug effects from animal experiments to human ventricular myocytes

por Tveito, Aslak, Jæger, Karoline Horgmo, Maleckar, Mary M., Giles, Wayne R., Wall, Samuel
Publicado 2020

Dual effects of the small-conductance Ca(2+)-activated K(+) current on human atrial electrophysiology and Ca(2+)-driven arrhythmogenesis: an in silico study

por Herrera, Nathaniel T., Zhang, Xianwei, Ni, Haibo, Maleckar, Mary M., Heijman, Jordi, Dobrev, Dobromir, Grandi, Eleonora, Morotti, Stefano
Publicado 2023

Improved Computational Identification of Drug Response Using Optical Measurements of Human Stem Cell Derived Cardiomyocytes in Microphysiological Systems

por Jæger, Karoline Horgmo, Charwat, Verena, Charrez, Bérénice, Finsberg, Henrik, Maleckar, Mary M., Wall, Samuel, Healy, Kevin E., Tveito, Aslak
Publicado 2020

Na(+) current expression in human atrial myofibroblasts: identity and functional roles

por Koivumäki, Jussi T., Clark, Robert B., Belke, Darrell, Kondo, Colleen, Fedak, Paul W. M., Maleckar, Mary M. C., Giles, Wayne R.
Publicado 2014

A deep generative model of 3D single-cell organization

por Donovan-Maiye, Rory M., Brown, Jackson M., Chan, Caleb K., Ding, Liya, Yan, Calysta, Gaudreault, Nathalie, Theriot, Julie A., Maleckar, Mary M., Knijnenburg, Theo A., Johnson, Gregory R.
Publicado 2022

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

por Maleckar, Mary M., Myklebust, Lena, Uv, Julie, Florvaag, Per Magne, Strøm, Vilde, Glinge, Charlotte, Jabbari, Reza, Vejlstrup, Niels, Engstrøm, Thomas, Ahtarovski, Kiril, Jespersen, Thomas, Tfelt-Hansen, Jacob, Naumova, Valeriya, Arevalo, Hermenegild
Publicado 2021

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

por Hicks, Steven A., Isaksen, Jonas L., Thambawita, Vajira, Ghouse, Jonas, Ahlberg, Gustav, Linneberg, Allan, Grarup, Niels, Strümke, Inga, Ellervik, Christina, Olesen, Morten Salling, Hansen, Torben, Graff, Claus, Holstein-Rathlou, Niels-Henrik, Halvorsen, Pål, Maleckar, Mary M., Riegler, Michael A., Kanters, Jørgen K.
Publicado 2021

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

por Thambawita, Vajira, Isaksen, Jonas L., Hicks, Steven A., Ghouse, Jonas, Ahlberg, Gustav, Linneberg, Allan, Grarup, Niels, Ellervik, Christina, Olesen, Morten Salling, Hansen, Torben, Graff, Claus, Holstein-Rathlou, Niels-Henrik, Strümke, Inga, Hammer, Hugo L., Maleckar, Mary M., Halvorsen, Pål, Riegler, Michael A., Kanters, Jørgen K.
Publicado 2021

B-PO01-094 ARTIFICIAL INTELLIGENCE (AI) CAN IDENTIFY RISK OF DEATH IN COVID-19 PATIENTS USING 12-LEAD INTAKE ELECTROCARDIOGRAM (ECG) ALONE

por Boyle, Patrick, Chen, Zih-Hua, Falasca Zamponi, Alessio, Lassen, Mats C.H., Mayfield, Jacob J., Rumer, Christopher, Skaarup, Kristoffer G., Arvanitis, Panagiotis, Braunschweig, Frieder, Chatterjee, Neal A., Fohner, Alison, Johnson, Gregory R., Poole, Jeanne E., Biering-Sørensen, Tor, Linde, Cecilia Marianne, Blomstrom-Lundqvist, Carina Madelene, Maleckar, Mary M., Sridhar, Arun M.
Publicado 2021

Identifying risk of adverse outcomes in COVID-19 patients via artificial intelligence–powered analysis of 12-lead intake electrocardiogram

por Sridhar, Arun R., Chen (Amber), Zih-Hua, Mayfield, Jacob J., Fohner, Alison E., Arvanitis, Panagiotis, Atkinson, Sarah, Braunschweig, Frieder, Chatterjee, Neal A., Zamponi, Alessio Falasca, Johnson, Gregory, Joshi, Sanika A., Lassen, Mats C.H., Poole, Jeanne E., Rumer, Christopher, Skaarup, Kristoffer G., Biering-Sørensen, Tor, Blomstrom-Lundqvist, Carina, Linde, Cecilia M., Maleckar, Mary M., Boyle, Patrick M.
Publicado 2021