Phage therapy combined with Gum Karaya injectable hydrogels for treatment of methicillin-resistant Staphylococcus aureus deep wound infection in a porcine model von Vacek, L., Polaštík Kleknerová, D., Lipový, B., Holoubek, J., Matysková, D., Černá, E., Brtníková, J., Jeklová, E., Kobzová, Š., Janda, L., Lišková, L., Diabelko, D., Botka, T., Pantůček, R., Růžička, F., Vojtová, L.

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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network von Raghunath, Sushravya, Ulloa Cerna, Alvaro E., Jing, Linyuan, vanMaanen, David P., Stough, Joshua, Hartzel, Dustin N., Leader, Joseph B., Kirchner, H. Lester, Stumpe, Martin C., Hafez, Ashraf, Nemani, Arun, Carbonati, Tanner, Johnson, Kipp W., Young, Katelyn, Good, Christopher W., Pfeifer, John M., Patel, Aalpen A., Delisle, Brian P., Alsaid, Amro, Beer, Dominik, Haggerty, Christopher M., Fornwalt, Brandon K.

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Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke von Raghunath, Sushravya, Pfeifer, John M., Ulloa-Cerna, Alvaro E., Nemani, Arun, Carbonati, Tanner, Jing, Linyuan, vanMaanen, David P., Hartzel, Dustin N., Ruhl, Jeffery A., Lagerman, Braxton F., Rocha, Daniel B., Stoudt, Nathan J., Schneider, Gargi, Johnson, Kipp W., Zimmerman, Noah, Leader, Joseph B., Kirchner, H. Lester, Griessenauer, Christoph J., Hafez, Ashraf, Good, Christopher W., Fornwalt, Brandon K., Haggerty, Christopher M.

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A Machine Learning Approach to Management of Heart Failure Populations von Jing, Linyuan, Ulloa Cerna, Alvaro E., Good, Christopher W., Sauers, Nathan M., Schneider, Gargi, Hartzel, Dustin N., Leader, Joseph B., Kirchner, H. Lester, Hu, Yirui, Riviello, David M., Stough, Joshua V., Gazes, Seth, Haggerty, Allyson, Raghunath, Sushravya, Carry, Brendan J., Haggerty, Christopher M., Fornwalt, Brandon K.

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An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk von Raghunath, Sushravya, Pfeifer, John M., Kelsey, Christopher R., Nemani, Arun, Ruhl, Jeffrey A., Hartzel, Dustin N., Ulloa Cerna, Alvaro E., Jing, Linyuan, vanMaanen, David P., Leader, Joseph B., Schneider, Gargi, Morland, Thomas B., Chen, Ruijun, Zimmerman, Noah, Fornwalt, Brandon K., Haggerty, Christopher M.

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Sublethal effect of Abamectin in the functional response of the predator Phytoseiulus persimilis (Athias-Henriot) on Tetranychus urticae (Koch) (Acari: Phytoseiidae, Tetranychidae) von Monjarás-Barrera, J I, Chacón-Hernández, J C, Cerna-Chávez, E, Ochoa-Fuentes, Y M, Aguirre-Uribe, L A, Landeros-Flores, J

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Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality von Ulloa Cerna, Alvaro E., Jing, Linyuan, Good, Christopher W., vanMaanen, David P., Raghunath, Sushravya, Suever, Jonathan D., Nevius, Christopher D., Wehner, Gregory J., Hartzel, Dustin N., Leader, Joseph B., Alsaid, Amro, Patel, Aalpen A., Kirchner, H. Lester, Pfeifer, John M., Carry, Brendan J., Pattichis, Marios S., Haggerty, Christopher M., Fornwalt, Brandon K.

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rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography von Ulloa-Cerna, Alvaro E., Jing, Linyuan, Pfeifer, John M., Raghunath, Sushravya, Ruhl, Jeffrey A., Rocha, Daniel B., Leader, Joseph B., Zimmerman, Noah, Lee, Greg, Steinhubl, Steven R., Good, Christopher W., Haggerty, Christopher M., Fornwalt, Brandon K., Chen, Ruijun

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Batch Cultivation Model for Biopolymer Production von Torres-Cerna, C. E.

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Deep Learning for the Classification of Genomic Signals von Mendizabal-Ruiz, Gerardo, Mendizabal-Ruiz, Adriana P., Borrayo, Ernesto, Torres-Cerna, Carlos E., Santana-Castolo, Manuel H., Saldaña, Román, Morales, J. Alejandro, Vélez-Pérez, Hugo A.

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Preparation and Characterization of Polymeric Microfibers of PLGA and PLGA/PPy Composite Fabricated by Solution Blow Spinning von Cerna Nahuis, Liesel E., Alvim Valente, Cristhiane, de Freitas Oliveira, Danilo, de Souza Basso, Nara R., Antonio Malmonge, José

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Deep neural networks can predict one-year mortality and incident atrial fibrillation from raw 12-lead electrocardiogram voltage data von Raghunath, Sushravya, Ulloa Cerna, Alvaro E., Jing, Linyuan, van Maanen, David P., Hartzel, Dustin N., Good, Christopher W., Patel, Aalpen A., Delisle, Brian P., Haggerty, Christopher M., Fornwalt, Brandon K.

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Immunohistochemical Detection of Calcitonin in Parafollicular Cells of Thyroid Gland of the Laboratory Rat (Rattus norvegicus var. alba Linné, 1758) von Černý, H., Černá, E.

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ONE YEAR PREDICTION OF MODERATE OR SEVERE AORTIC STENOSIS USING ECG- AND EHR-BASED MACHINE LEARNING MODELS von Chen, Ruijun, Cerna, Alvaro E Ulloa, Good, Christopher, Raghunath, Sushravya, Warsame, Leyla, Puttagunta, Raghuveer, Tavares, Spencer, Fornwalt, Brandon, Haggerty, Christopher

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TABLA DE VIDA DE Oligonychus punicae Hirst (Acari: Tetranychidae) EN HOJAS DE AGUACATE (Persea americana Mill) VARIEDAD HASS, FUERTE Y CRIOLLO von E Cerna, MH Badii, Y Ochoa, LA Aguirre U, J Landeros

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Asma casi fatal como manifestación clínica en paciente diabética debut: Reporte de caso von Chávez-Paredes, César A., Castillo-Huerta, Cristel, Chavez-Cerna, Alicia E., Gutierrez-Salcedo, Franz, Hilario, Katerine, Lam-Cabanillas, Eduardo, Rodríguez-Benites, Arnold Frank

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Reactive Oxygen Species in the Pathogenesis of Stress-Induced Gastric Ulceration in Rats and Protective Effect of Omeprazole von Doubek, J., Svoboda, P., Lojek, A., Kantorová, I., Číž, M., Černá, E.

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Mathematical Modeling of the Quorum Sensing in Vibrio harveyi von Torres-Cerna, C. E., Hernández-Vargas, E. A.

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Susceptibility and resistance mechanisms of Tetranychus urticae (Acariformes: Tetranychidae) in greenhouse roses von Landeros, J, Ail, CE, Cerna, E, Ochoa, Y, Guevara, L, Aguirre, LA

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Sublethal effect of Abamectin in the functional response of the predator Phytoseiuluspersimilis von Monjaras-Barrera, J.I, Chacon-Hernandez, J.C, Cerna-Chavez, E, Ochoa-Fuentes, Y.M, Aguirre-Uribe, L.A, Landeros- Flores, J

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