Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Ana García Rodríguez"'
Autor:
David Bars-Cortina, Elies Ramon, Blanca Rius-Sansalvador, Elisabet Guinó, Ainhoa Garcia-Serrano, Núria Mach, Olfat Khannous-Lleiffe, Ester Saus, Toni Gabaldón, Gemma Ibáñez-Sanz, Lorena Rodríguez-Alonso, Alfredo Mata, Ana García-Rodríguez, Mireia Obón-Santacana, Victor Moreno
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract Background Gut dysbiosis has been associated with colorectal cancer (CRC), the third most prevalent cancer in the world. This study compares microbiota taxonomic and abundance results obtained by 16S rRNA gene sequencing (16S) and whole shot
Externí odkaz:
https://doaj.org/article/bef1170083194cbfaf35f5bc78a56997
Autor:
Elies Ramon, Mireia Obón-Santacana, Olfat Khannous-Lleiffe, Ester Saus, Toni Gabaldón, Elisabet Guinó, David Bars-Cortina, Gemma Ibáñez-Sanz, Lorena Rodríguez-Alonso, Alfredo Mata, Ana García-Rodríguez, Victor Moreno
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 2, p 1181 (2024)
Colorectal cancer (CRC), the third most common cancer globally, has shown links to disturbed gut microbiota. While significant efforts have been made to establish a microbial signature indicative of CRC using shotgun metagenomic sequencing, the chall
Externí odkaz:
https://doaj.org/article/d49e5bc3e2644a86b5b2e66880c3cd22
Autor:
Mireia Obón-Santacana, Anna Díez-Villanueva, Maria Henar Alonso, Gemma Ibáñez-Sanz, Elisabet Guinó, Ana López, Lorena Rodríguez-Alonso, Alfredo Mata, Ana García-Rodríguez, Andrés García Palomo, Antonio J. Molina, Montse Garcia, Gemma Binefa, Vicente Martín, Victor Moreno
Publikováno v:
BMC Medicine, Vol 19, Iss 1, Pp 1-11 (2021)
Abstract Background Different risk-based colorectal cancer (CRC) screening strategies, such as the use of polygenic risk scores (PRS), have been evaluated to improve effectiveness of these programs. However, few studies have previously assessed its u
Externí odkaz:
https://doaj.org/article/733185c3c65f446a9006a4acf155d6ce
Autor:
Ana García-Rodríguez, Yael Tudela, Henry Córdova, Sabela Carballal, Ingrid Ordás, Leticia Moreira, Eva Vaquero, Oswaldo Ortiz, Liseth Rivero, F. Javier Sánchez, Miriam Cuatrecasas, Maria Pellisé, Jorge Bernal, Glòria Fernández-Esparrach
Publikováno v:
Endoscopy International Open, Vol 10, Iss 09, Pp E1201-E1207 (2022)
Background and study aims Artificial intelligence is currently able to accurately predict the histology of colorectal polyps. However, systems developed to date use complex optical technologies and have not been tested in vivo. The objective of this
Externí odkaz:
https://doaj.org/article/a56f9f13fef54de2acd35a3e9993011a
Autor:
Sol García-Rodríguez, Ignacio García, Ana García-Rodríguez, Montserrat Díez-Mediavilla, Cristina Alonso-Tristán
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10407 (2022)
Solar Ultraviolet Radiation (UVR), which is identified as a major environmental health hazard, is responsible for a variety of photochemical reactions with direct effects on urban and aquatic ecosystems, human health, plant growth, and the deteriorat
Externí odkaz:
https://doaj.org/article/deb5a9e438eb43e3bbcecb7e6f45c9a9
Autor:
Mireia Obón-Santacana, Joan Mas-Lloret, David Bars-Cortina, Lourdes Criado-Mesas, Robert Carreras-Torres, Anna Díez-Villanueva, Ferran Moratalla-Navarro, Elisabet Guinó, Gemma Ibáñez-Sanz, Lorena Rodríguez-Alonso, Núria Mulet-Margalef, Alfredo Mata, Ana García-Rodríguez, Eric J. Duell, Ville Nikolai Pimenoff, Victor Moreno
Publikováno v:
Cancers, Vol 14, Iss 17, p 4214 (2022)
The gut microbiome is a potential modifiable risk factor for colorectal cancer (CRC). We re-analyzed all eight previously published stool sequencing data and conducted an MWAS meta-analysis. We used cross-validated LASSO predictive models to identify
Externí odkaz:
https://doaj.org/article/6ac1f787f9f04719a581426b34d9472e
Autor:
Ana García-Rodríguez, Sol García-Rodríguez, Diego Granados-López, Montserrat Díez-Mediavilla, Cristina Alonso-Tristán
Publikováno v:
Applied Sciences, Vol 12, Iss 5, p 2372 (2022)
Four models for predicting Photosynthetically Active Radiation (PAR) were obtained through MultiLinear Regression (MLR) and an Artificial Neural Network (ANN) based on 10 meteorological indices previously selected from a feature selection algorithm.
Externí odkaz:
https://doaj.org/article/e8c3901fac1c484eb0b090b0d4dd7e93
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
instname
Photosynthetically Active Radiation (PAR) is a fundamental parameter for developing plant productivity models. Nevertheless, instrumentation for measuring PAR and to record it is scarce at conventional meteorological stations. Several procedures have
Autor:
Henry Córdova, Eva Barreiro-Alonso, Edgar Castillo-Regalado, Joaquín Cubiella, Pedro Delgado-Guillena, Pilar Díez Redondo, Martin Galdín, Ana García-Rodríguez, Luis Hernández, Alain Huerta, Rodrigo Jover, Henar Núñez, Antonio Rodríguez-D’Jesús, Agustín Seoane, Gerard Surís, Javier Tejedor-Tejada, Javier Jiménez, Francisco Martín, Leticia Moreira, Sabela Carballal, Liseth Rivero, Angella Da Fieno, Gherzon Casanova, Irina Luzko Scheid, Joan Llach, Gloria Fernández-Esparrach
Publikováno v:
Gastroenterología y Hepatología.
Autor:
Henry Córdova, Miriam Cuatrecasas, Ana García-Rodríguez, Andrea Montenegro, Jordana Melo, Cristina Rodríguez-de Miguel, Graciela Martínez-Pallí, Rodrigo Garcés-Durán, Josep Llach, Gloria Fernández-Esparrach
Publikováno v:
Endoscopy International Open, Vol 07, Iss 04, Pp E576-E582 (2019)
Background and study aims Endoscopic resection requires use of submucosal injection. This study was conducted to assess efficacy and impact on early healing of hyaluronic acid combined with chondroitin sulfate and poloxamer 407 (Ziverel) when used as
Externí odkaz:
https://doaj.org/article/b5e265498d8446678931d8c864de1bdb