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1. Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units With Associated Uncertainty

Author

Hammad Tanveer Butt, Mathias Musahl, Maria A. Sanchez, Pramod Murthy, Kumar Ankit, and Didier Stricker

Subjects
Inertial sensors, end user calibration, kinematic constraints, magnetic inertial measurement unit (MIMU), uncertainty estimation, wearable sensors, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

A fast method to simultaneously calibrate multiple MEMS Magnetic Inertial Measurement Units (MIMUs) accurately in the field is needed in many application areas. The MEMS MIMUs require calibration of systematic errors of bias, sensitivity, non-orthogonality and misalignment, which vary with temperature and use. Even after calibration, the sensors undergo stochastic errors in static and dynamic conditions and thus uncertainty of output must also be modeled. We propose a method for easy and fast calibration of multiple MIMUs together, while mounted on a single platform. The precise alignment of sensors is not assumed. Our method calibrates both fixed array of MEMS MIMUs or many independent MIMUs simultaneously using kinematic constraints. The novelty of our approach is that the uncertainty of sensors output is also learned as part of our model. Compared with existing state-of-art methods, our algorithm gives more consistent readings of all MIMUs and our framework also predicts the associated uncertainty of the sensor output. The uncertainty prediction of individual sensors is particularly helpful in the sensor fusion.

Published
2021
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2. Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units

Author

Hammad Tanveer Butt, Bertram Taetz, Mathias Musahl, Maria A. Sanchez, Pramod Murthy, and Didier Stricker

Subjects
3D human pose, deep learning, uncertainty estimation, inertial motion capture, sparse sensing, magnetic inertial measurement unit (MIMU), Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

We propose a deep learning based framework that learns data-driven temporal priors to perform 3D human pose estimation from six body worn Magnetic Inertial Measurement units sensors. Our work estimates 3D human pose with associated uncertainty from sparse body worn sensors. We derive and implement a 3D angle representation that eliminates yaw angle (or magnetometer dependence) and show that 3D human pose is still obtained from this reduced representation, but with enhanced uncertainty. We do not use kinematic acceleration as input and show that it improves the generalization to real sensor data from different subjects as well as accuracy. Our framework is based on Bi-directional recurrent autoencoder. A sliding window is used at inference time, instead of full sequence (offline mode). The major contribution of our research is that 3D human pose is predicted from sparse sensors with a well calibrated uncertainty which is correlated with ambiguity and actual errors. We have demonstrated our results on two real sensor datasets; DIP-IMU and Total capture and have come up with state-of-art accuracy. Our work confirms that the main limitation of sparse sensor based 3D human pose prediction is the lack of temporal priors. Therefore fine-tuning on a small synthetic training set of target domain, improves the accuracy.

Published
2021
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3. Genetic detection of Sonic hedgehog (Shh) expression and cellular response in the progression of acute through chronic demyelination and remyelination

Author

Maria A. Sanchez, Genevieve M. Sullivan, and Regina C. Armstrong

Subjects
Demyelination, Cuprizone, Genetic fate-labeling, Sonic hedgehog, Gli1, Astrogliosis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Multiple sclerosis is a demyelinating disease in which neurological deficits result from damage to myelin, axons, and neuron cell bodies. Prolonged or repeated episodes of demyelination impair remyelination. We hypothesized that augmenting Sonic hedgehog (Shh) signaling in chronically demyelinated lesions could enhance oligodendrogenesis and remyelination. Shh regulates oligodendrocyte development during postnatal myelination, and maintains adult neural stem cells. We used genetic approaches to detect Shh expression and Shh responding cells in vivo. ShhCreERT2 or Gli1CreERT2 mice were crossed to reporter mice for genetic fate-labeling of cells actively transcribing Shh or Gli1, an effective readout of canonical Shh signaling. Tamoxifen induction enabled temporal control of recombination at distinct stages of acute and chronic cuprizone demyelination of the corpus callosum. Gli1 fate-labeled cells were rarely found in the corpus callosum with tamoxifen given during acute demyelination stages to examine activated microglia, reactive astrocytes, or remyelinating cells. Gli1 fate-labeled cells, mainly reactive astrocytes, were observed in the corpus callosum with tamoxifen given after chronic demyelination. However, Shh expressing cells were not detected in the corpus callosum during acute or chronic demyelination. Finally, SAG, an agonist of both canonical and type II non-canonical Hedgehog signaling pathways, was microinjected into the corpus callosum after chronic demyelination. Significantly, SAG delivery increased proliferation and enhanced remyelination. SAG did not increase Gli1 fate-labeled cells in the corpus callosum, which may indicate signaling through the non-canonical Hedgehog pathway. These studies demonstrate that Hedgehog pathway interventions may have therapeutic potential to modulate astrogliosis and to promote remyelination after chronic demyelination.

Published
2018
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4. Computing Transiting Exoplanet Parameters with 1D Convolutional Neural Networks

Author

Álvarez, Santiago Iglesias, Alonso, Enrique Díez, Rodríguez, María Luisa Sánchez, Rodríguez, Javier Rodríguez, Fernández, Saúl Pérez, and Juez, Francisco Javier de Cos

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Machine Learning
Abstract

The transit method allows the detection and characterization of planetary systems by analyzing stellar light curves. Convolutional neural networks appear to offer a viable solution for automating these analyses. In this research, two 1D convolutional neural network models, which work with simulated light curves in which transit-like signals were injected, are presented. One model operates on complete light curves and estimates the orbital period, and the other one operates on phase-folded light curves and estimates the semimajor axis of the orbit and the square of the planet-to-star radius ratio. Both models were tested on real data from TESS light curves with confirmed planets to ensure that they are able to work with real data. The results obtained show that 1D CNNs are able to characterize transiting exoplanets from their host star's detrended light curve and, furthermore, reducing both the required time and computational costs compared with the current detection and characterization algorithms.

Published
2024
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5. Role of lateral suspension for the treatment of pelvic organ prolapse: a Delphi survey of expert panel

Author

Simoncini, Tommaso, Panattoni, Andrea, Cadenbach-Blome, Tina, Caiazzo, Nicola, García, Maribel Calero, Caretto, Marta, Chun, Fu, Francescangeli, Eric, Gaia, Giorgia, Giannini, Andrea, Hegenscheid, Lucas, Luisi, Stefano, Mannella, Paolo, Mereu, Liliana, Montt-Guevara, Maria Magdalena, Ñiguez, Isabel, Ritter, Ratiba, Russo, Eleonora, Ferrer, Maria Luisa Sanchez, Tammaa, Ayman, Uhl, Bernhard, Wiedemann, Bea, Wilczak, Maciej, Pauli, Friedrich, and Dubuisson, Jean

Published
2024
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6. Internalizing Symptoms among Asian American Language Brokers: The Moderating Role of Values Enculturation

Author

Nguyen P. Nguyen, Shin Ye Kim, Maria R. Sanchez, and Alejandro Morales

Abstract

Objective: Language brokering (LB) is an act of interpreting and translating that immigrants often engage in to help their family members who may not be fluent in the English language. The study examined whether adhering to Asian American values (i.e., values enculturation) could moderate the association between LB and internalizing symptoms (e.g., depression, anxiety) among Asian American college students. Participants & Methods: An online survey was administered to a sample of 159 Asian American college students who had engaged in LB. Results: Results from the moderation analysis indicated that Asian American values enculturation significantly buffered against the adverse effects of high LB frequency on internalizing symptoms after controlling for gender and generation status. Conclusions: The current study offered insights into the toll that LB could take on Asian American college students' mental health as well as the potential protective roles of values enculturation.

Published
2024
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8. Accuracy of Dynamic Navigation System on Zygomatic Implant Placement

Author

Principal Investigator: Bassel Traboulsi-Garet. Master of Oral Surgery and Implantology. University of Barcelona, Study Chair: Javier Bara-Casaus. Head of the Oral and Maxillofacial Surgery Institute. University Hospital Sagrat Cor, Barcelona., Study Chair: Eduard Valmaseda-Castellón. Full professor of Oral Surgery. University of Barcelona, Study Chair: Octavi Camps-Font. Lecturer in Oral Surgery. University of Barcelona, Study Director: Maria Angels Sanchez-Garces. Associate professor in Oral Surgery. University of Barcelona, and Adrià Jorba García, DDS

Published
2023

10. Genetic Characterization of Extensively Drug-Resistant Shigella sonnei Infections, Spain, 2021 -2022

Author

Jacqueline, Camille, Carrascoso, Guillermo Ruiz, Gutierrez-Fernandez, Jose, Rangel, Teresa Vicente, Goterris, Lidia, Valdes, Fernando Vazquez, Vecilla, Domingo Fernandez, Lopez, Matilde Elia, Ruiz, Maria Rocio Martinez, Sancho, Carmen Aspiroz, Tanoira, Ramon Perez, Quilez, Elia Sirvent, de la Rica Martinez, Alba, Jimenez, Nieves Gonzalo, Salguero, Cristina Garcia, Barbera, Eva Gonzalez, Florez, Maria Reyes Sanchez, Merino, Francisco J., Redondo, Begona Sagardia, Guerrero, Enrique Rodriguez, Gonzalez, Claudia Sanz, and Herrera-Leon, Silvia

Subjects
Drug resistance in microorganisms, Metronidazole, Health
Abstract

On January 27, 2022, the United Kingdom reported an increased number of infections with extensively drug-resistant (XDR) Shigella sonnei during September 1, 2021-January 10, 2022 (1). A total of 146 [...]

Published
2023
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15. Epidemiologic Features and Control Measures during Monkeypox Outbreak, Spain, June 2022

Author

Rodriguez, Berta Suarez, Herrador, Bernardo R. Guzman, Franco, Asuncion Diaz, Farinas, Maria Paz Sanchez-Seco, Valero, Julia del Amo, Llorente, Adrian Hugo Aginagalde, Agreda, Juan Pablo Alonso Perez de, Malonda, Rosa Carbo, Castrillejo, Daniel, Lopez, Maria Dolores Chirlaque, Chong, Eduardo Javier Chong, Balbuena, Sonia Fernandez, Garcia, Virtudes Gallardo, Garcia-Cenoz, Manuel, Hernandez, Laura Garcia, Montalban, Elisa Gil, Carril, Fernando Gonzalez, Cortijo, Teresa Gonzalez, Bueno, Susana Jimenez, Sanchez, Aurora Limia, Dopido, Juan Antonio Linares, Lorusso, Nicola, Martins, Mario Margolles, Ochoa, Eva Maria Martinez, Mateo, Ana Martinez, Pena, Jacobo Mendioroz, Anton, Ana Isabel Negredo, Barros, Maria Teresa Otero, Martinez, Maria del Carmen Pacheco, Jimenez, Pilar Peces, Martin, Oscar-Guillermo Perez, Perez, Ana Isabel Rivas, Garcia, Maria Sastre, Soria, Fernando Simon, and Moros, Maria Jose Sierra

Subjects
Human monkeypox -- Statistics -- Control, Epidemics -- Statistics -- Control -- United Kingdom, Health
Abstract

During May-June 2022, after an alert notification initiated by the United Kingdom (1,2), >4,500 monkeypox cases had been confirmed worldwide, mainly in the European region (3-6). Chains of transmission without [...]

Published
2022
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22. Educational Note: Paradoxical Collider Effect in the Analysis of Non-Communicable Disease Epidemiological Data: a reproducible illustration and web application

Author

Luque-Fernandez, Miguel Angel, Schomaker, Michael, Redondo-Sanchez, Daniel, Perez, Maria Jose Sanchez, Vaidya, Anand, and Schnitzer, Mireille E.

Subjects
Statistics - Methodology
Abstract

Classical epidemiology has focused on the control of confounding but it is only recently that epidemiologists have started to focus on the bias produced by colliders. A collider for a certain pair of variables (e.g., an outcome Y and an exposure A) is a third variable (C) that is caused by both. In a directed acyclic graph (DAG), a collider is the variable in the middle of an inverted fork (i.e., the variable C in A -> C <- Y). Controlling for, or conditioning an analysis on a collider (i.e., through stratification or regression) can introduce a spurious association between its causes. This potentially explains many paradoxical findings in the medical literature, where established risk factors for a particular outcome appear protective. We use an example from non-communicable disease epidemiology to contextualize and explain the effect of conditioning on a collider. We generate a dataset with 1,000 observations and run Monte-Carlo simulations to estimate the effect of 24-hour dietary sodium intake on systolic blood pressure, controlling for age, which acts as a confounder, and 24-hour urinary protein excretion, which acts as a collider. We illustrate how adding a collider to a regression model introduces bias. Thus, to prevent paradoxical associations, epidemiologists estimating causal effects should be wary of conditioning on colliders. We provide R-code in easy-to-read boxes throughout the manuscript and a GitHub repository (https://github.com/migariane/ColliderApp) for the reader to reproduce our example. We also provide an educational web application allowing real-time interaction to visualize the paradoxical effect of conditioning on a collider http://watzilei.com/shiny/collider/.

Published
2018
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32. Detection of alcohol use disorders using the camouflaged CAGE questionnaire in three population groups/Deteccion de trastornos por uso de alcohol mediante la aplicacion del cuestionario CAGE camuflado en tres grupos poblacionales

Author

Zamora-Rodriguez, Francisco Javier, Tolosa-Gutierrez, Leticia, Sanchez-Autet, Monica, Arranz, Belen, Gonzalez-Martinez, Idilio, Benitez-Vega, Concepcion, Garriga, Marina, Hernandez, Maria Rosa Sanchez-Waisen, Guisado-Macias, Juan Antonio, and Vaz-Leal, Francisco Jose

Published
2021

33. Polymeric antigen BLSOmp31 formulated with class B CpG-ODN in a nanostructure (BLSOmp31/CpG-ODN/Coa-ASC16) administered by parenteral or mucosal routes confers protection against Brucella ovis in Balb/c mice

Author

Moran, María Celeste, Bence, Angel Ricardo, Vallecillo, María Fernanda Sánchez, Lützelschwab, Claudia María, Rodriguez, Marcelo Gastón, Pardo, Romina, Goldbaum, Fernando Alberto, Zylberman, Vanesa, Palma, Santiago Daniel, Maletto, Belkys Angélica, and Estein, Silvia Marcela

Published
2021
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34. O USO DAS ESTRATEGIAS DE CO-MARKETING, COOPETICAO E MARKETING DO DESTINO, POR MEIO DA MIDIA SOCIAL INSTAGRAM NO PERIODO DE PANDEMIA/THE USE OF CO-MARKETING STRATEGIES, COOPETITION AND DESTINATION MARKETING THROUGH SOCIAL MEDIA INSTAGRAM IN PANDEMIC PERIOD/EL USO DE ESTRATEGIAS DE MARKETING CONJUNTO COOPERACION Y MARKETING DE DESTINOS, A TRAVES DE LAS REDES SOCIALES INSTAGRAM EN EL PERIODO DE LA PANDEMIA

Author

Perinotto, Andre Riani Costa, de, Sobrinho, Luciano Lima, Soares, Jakson Renner Rodrigues, and Fernandez, Maria Dolores Sanchez

Published
2021
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36. Depression in Youth with Autism Spectrum Disorders: A Systematic Review of Studies Published between 2012 and 2016

Author

Michelle Menezes, Lee Robinson, Maria Jose Sanchez, and Benjamin Cook

Abstract

Depression has long been a clinical concern in youth with autism, yet systematic research examining its prevalence, presentation, and treatment has only begun to emerge more recently. Using the search terms "autism", "asd", or "autistic" and "depression", "depressive", "dysthymia", or "dysthymic", this systematic review identified 43 articles focused on symptoms of depression in children and adolescents with autism spectrum disorders published between 2012 and 2016. The results of the review indicate that depression is more common in youth with autism spectrum disorders than in typically developing youth and is associated with a multitude of other medical and psychiatric conditions. Unfortunately, few intervention studies have been conducted despite evidence of need and preliminary efficacy for some psychosocial and pharmacological treatments.

Published
2018
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40. Factors that determine the loss of control when reducing therapy by steps in the treatment of moderate-severe asthma in standard clinical practice: A multicentre Spanish study

Author

López, Jesús Jiménez, Orenes, Miguel Ángel Moscardó, Montaño, Patricia Prieto, Toro, Miguel Torrecillas, Oliver, Begoña Cueva, Torres, Ángel Ferrer, Delgado, Purificación González, Rodríguez, Teodorikez Wilfox Jiménez, Auli, Brian Vila, Yebenes, Juan José Zapata, Berasategui, María Teresa Audicana, Jiménez, Marta Frias, Ruibio, Nieves Hurtado De Mendoza, Azagra, Marta Velasco, Fernández, Jose Antonio Álvarez, Sainz, Sara Acero, González, Rosa Mª Blanco, Nieves, María Estela Gómez, Carpio, Diego Aisa, Sellés, Núria Angrill, García, Cristina Berastegui, Lessmann, Astrid Crespo, Carrillo, David De La Rosa, Pla, Jordi Juanola, Giraldo, Alejandra López, Sánchez, Olga Luengo, Rivera, Carlos Martínez, Olondris, Pilar Martínez, Gall, Xavier Muñoz, Nogués, Ester Pinto, Coimerma, Francisco Planas, Carroz, Karina Portillo, Blanch, Antoni Riba, Ortún, Mª Luisa Rivera, Berenguer, Dan Sánchez, Batlles, Joan Serra, Mitjà, Pere Serra, Sagardía, Ana Sogo, Retes, Lorena Soto, Combas, Joan Valldeperas, Giralte, Xavier Vila, Zubeldia, Ignacio Ansotegui, Ercoreca, Ignacio Antepara, Peña, Miguel Herrerías, Pascual, María Milagros Iriberri, Michelena, Carmen Jaca, Castro, Adolfo Lahuerta, Legarreta, Amaia Laita, Llorente, Paula Losada, Prieto, Joaquina Prieto, Lorenzo, Vanessa Zorrilla, Gil, Lidia Alonso, Muñoz, Juan Pablo García, Durantez, Marisa Marcos, Miguel, Teresa Peña, Ahmida, Tahar, Izquierdo, María Isabel Alvarado, Olbah, Michael Alwakil, Muñoz, Aurelio Arnedillo, Núñez, Ignacio García, Fernández, Diego Gutiérrez, Camacho, Antonio Letran, Pellon, Luis Fernández, Miguel, Eva Maria Morchon, Portal, Félix Ortiz, Raducan, Isabela, Prats, Juan Antonio Royo, Segarra, María Dolores Salvador, Soler, Frederic Tatay, Naon, Alberto Levy, Bonilla, Pedro Galindo, Muñoz, Francisco Luis Gil, Calderón, Patricia Mata, Costa, Luis Manuel Entrenas, Aparicio, Marina Blanco, Pazos, Jose Manuel García, Paz, Vanessa García, Barcala, Francisco-Javier González, Sotes, Pilar Iriarte, Rodríguez, Pedro Jorge Marcos, Nieto, Fernando Molina, Orjales, Ramón Nuñez, Martín, Carracedo Sevillano, Antelo, Juan Suárez, Rodríguez, Julia Tábara, Español, Santiago Aparicio, Nieto, Carlos Sabadell, Talaverano, Gladis Sabater, Rodríguez, Mª Mar Escribano, López, José Fernando Florido, Jiménez, María Ángeles Lara, Vílchez, María José Rojas, Palacín, Susana Chic, Quintana, Silvia Dorronsoro, Echeverria, Jose Antonio Navarro, Guardia, Eduardo Figueroa De La, Jara, Belén Hinojosa, García, Victoria Moreno, Vazquez, Lucía Valverde, De Sus, Joaquín Cegoñino, Santonio, Jose, López, Juan Alfonso Almagro, Campillo, Eduardo Arcalá, Molina, Compaired Villa Jose María Cruz, Venegas, Antonia Dolores Soto, Martínez, Patricia Benito, Reinosa, Begoña Blanco, Parra, Beatriz Fernández, García, Domingo Fernández, Gutiérrez, Virginia Serrano, Lobera, Adolfo Velez Ruiz De, Alcon, Silvia Lara, González, Francisco Carballada, Fernández, Teresa González, Lázaro, Joaquín Martín, Macenlle, Noemí Mengual, Viteri, Soledad Alonso, Amerigo, Darío Antolín, Bobolea, Irina, Aguirre, M Del Puerto Cano, Contreras, Remedios Cardenas, Arias, Fernando Carrillo, Álvarez, Mercedes Cimarra, Martínez, Eva Belén De Higes, Campos, Rocío Magdalena Díaz, Cano, María Del Mar Gandolfo, Rodríguez, Leticia García, Tejada, Jose Andrés García Romero De, Mancebo, Eloina González, Seco, Emma González, Torralba, Fernando González, Santana, Aythamy Henríquez, Herrera, Pilar De Lys Herráez, Mosquete, María Ruth Herrero, Rodríguez, Pedro Landete, Ballesteros, Belén López-Muñiz, Vicente, Ester Mohedano, Chacón, Beatriz Morales, Fernández, Antonio Moreno, García, Esther Muñoz, Castillejo, Elena Ojeda, Serrano, Fernando Pedraza, Acevedo, Yesenia Peña Acevedo, Rojo, Raquel Pérez, Ruiz-Rico, Natividad Quílez, Pinedo, Ángela Ramos, Jiménez, Beatriz Rodríguez, Rodríguez, Mercedes Rodríguez, Ingelmo, Ana Rosado, Peña, Antonio Ruiz, González, María José Sánchez, Trujillo, María Jesús Trujillo, Fuertes, Laura Vázquez, Albelda, Concepción Vila, Meniz, Alexandra Yago, Grovas, Ricardo Ismael Aguilar Perez, Ramírez, José Alcázar Ramírez Alcázar, Muñoz, José Manuel Barceló, Manzanares, Miguel Bentabol, Martínez, Gustavo De Luiz, Luna, Francisco Linde De, Paez, Alfonso Miranda, Tejada, Ezequiel Ortega Sáenz De, Galo, Alicia Padilla, Cornejo, Manuel Pérez Estrada, Esojo, Carmen Soria, Alemán, Ángel Francisco Abellán, Rumayor, María Consuelo Alcalde, Espinosa, Rubén Andújar, Mora, Roberto Bernabeu, Lancharro, Francisco Javier Campano, Urra, Tamara Gutiérrez, Martín, Sonia Herrero, Lizaldre, Alfredo Resano, Quintas, R. Dacal, Martínez-Moragón, E., Delgado, J., Mogrovejo, S., and Fernández-Sánchez, T.

Published
2020
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41. Characterization of plasma proteomic profile in Fabry disease

Author

Hermida, Alvaro, primary, López, Laura, additional, Mosquera, Maria Eugenia Vazquez, additional, Martinez, Maria Rosario Sanchez, additional, Mendoza, Manuel Lopez, additional, Lopez-Rodriguez, Monica, additional, Villacorta, Eduardo, additional, Diezhandino, Maria Angeles Goicoechea, additional, Guerrero Márquez, Francisco J., additional, Ortolano, Saida, additional, Teles, Elisa Leão, additional, Colon, Cristobal, additional, Bravo, Susana B., additional, Alvarez Gonzalez, Jose V., additional, and Couce, Maria L., additional

Published
2024
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50. Gender differences and management of stroke risk of nonvalvular atrial fibrillation in an upper middle-income country: Insights from the CARMEN-AF registry

Author

Santos, María Sangeado, Aguilar, César González, Flores, Jorge Gómez, Escobar, Karim Yarek Juárez, Bastidas, Samantha Rodríguez, de los Ríos Ibarra, José Raúl, Lama, Carmen Summerson, Cruz, José Paz Marcelo Jiménez, Flores, Enrique Martínez, Hernández, Norberto Matadamas, Carmona, Vanesa Esperanza Matadamas, Mancilla, Candelaria, Casillas, Rocío Camacho, González, José Refugio Ramírez, Magaña, Reynaldo Magaña, Calvillo, Jorge Carrillo, Martínez, Ulises Rojel, Gamba, Marco Antonio Alcocer, Saldaña, Héctor Francisco Fernández, Barrón, Laura Reséndiz, Vaca, Susano Lara, Salazar, Edgar Alfredo Rodríguez, Reyes, Humberto Rodríguez, Gálvez, Marco Aurelio Islava, Zelaya, José Salvador Lainez, Hernández, Lidia Evangelina Betancourt, Jiménez, Yoloxochitl García, Rendon, Sadoc Marín, Reyes, Nicolás Reyes, de Lara, Luis Gerardo Molina Fernández, González, Carlos Gutiérrez, Silva, Fernando Flores, Velasco, Alberto Zenón Baños, Gámez, Miguel Ernesto Beltrán, Ojeda, Amanda Castelán, Serna, César Iván Vázquez, Rivera, Miguel Ángel Negrete, del Campo, Alejandro Lechuga Martín, García, Demetrio Kosturakis, Santaló, Ramón Miguel Esturau, Del Valle, José Luis Novelo, Leal, Luis Delgado, Muñoz, Luis Ángel Trujillo, Díaz, José Fabián Hernández, Guerra, Mariano Miguel, Márquez, Raúl Isaac, Ramírez, María Isabel Sánchez, Robledo, Marcos, Muñoz, José Manuel Enciso, Fragoso, Juan Carlos Núñez, Flores, Saúl, Antonio González-Hermosillo, J., Baños-González, Manuel A., Guevara-Valdivia, Milton E., Vázquez-Acosta, Jorge A., de los Ríos Ibarra, Manuel Odín, Aguilar-Linares, Kulio A., Cantú-Brito, Carlos, Leiva-Pons, José L., Pozas-Garza, Gerardo, Favela-Pérez, Eddie A., and Márquez, Manlio F.

Published
2019
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