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Jorge Mateo

Showing results (31-40 of 52) with videos related to

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International Journal of Molecular Sciences|January 25, 2025
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging PandemicsNicolás J Garrido, Félix González-Martínez, Ana M Torres, et al.
Revista Latinoamericana De Microbiologia|October 26, 2006
Bacterial isolation rate from fertile eggs, hatching eggs, and neonatal broilers with yolk sac infectionCecilia Rosario Cortés, Guillermo Téllez Isaías, Carlos López Cuello, et al.
Digestive Diseases and Sciences|May 30, 2026
Exploratory Comparison of Meld, Meld-Na, and Meld 3.0 Scores for Prognostic Assessment at Diagnosis in Hepatocellular Carcinoma Using Machine Learning ApproachesPablo Martínez-Blanco, Miguel Suárez, Jorge Mateo, et al.
Bipolar Disorders|June 10, 2014
A five-year follow-up study of neurocognitive functioning in bipolar disorderJosé Luis Santos, Ana Aparicio, Alexandra Bagney, et al.
Diagnostics (Basel, Switzerland)|February 24, 2024
Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial IntelligencePablo Martínez-Blanco, Miguel Suárez, Sergio Gil-Rojas, et al.
Metabolites|June 26, 2024
Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning TechniquesSergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, et al.
Cancers|March 28, 2024
Machine Learning-Based Assessment of Survival and Risk Factors in Non-Alcoholic Fatty Liver Disease-Related Hepatocellular Carcinoma for Optimized Patient ManagementMiguel Suárez, Sergio Gil-Rojas, Pablo Martínez-Blanco, et al.
International Journal of Molecular Sciences|February 24, 2024
Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular CarcinomaSergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, et al.
Veterinary Sciences|May 26, 2026
Rabbit Does as a Model for Studying Plasma Metabolomic Adaptations Across Reproductive Stages: Insights from Parturition to WeaningJorge Mateo-López, Alejandro Huertas-Herrera, Mónica Toro-Manríquez, et al.
International Journal of Pediatric Otorhinolaryngology|August 31, 2019
Early detection of neonatal hearing loss by otoacoustic emissions and auditory brainstem response over 10 years of experienceFredy A Escobar-Ipuz, Carmen Soria-Bretones, María A García-Jiménez, et al.
Pageof 6

Showing results (31-40 of 52) with videos related to

Sort By:
Pageof 6
International Journal of Molecular Sciences|January 25, 2025
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging PandemicsNicolás J Garrido, Félix González-Martínez, Ana M Torres, et al.
Revista Latinoamericana De Microbiologia|October 26, 2006
Bacterial isolation rate from fertile eggs, hatching eggs, and neonatal broilers with yolk sac infectionCecilia Rosario Cortés, Guillermo Téllez Isaías, Carlos López Cuello, et al.
Digestive Diseases and Sciences|May 30, 2026
Exploratory Comparison of Meld, Meld-Na, and Meld 3.0 Scores for Prognostic Assessment at Diagnosis in Hepatocellular Carcinoma Using Machine Learning ApproachesPablo Martínez-Blanco, Miguel Suárez, Jorge Mateo, et al.
Bipolar Disorders|June 10, 2014
A five-year follow-up study of neurocognitive functioning in bipolar disorderJosé Luis Santos, Ana Aparicio, Alexandra Bagney, et al.
Diagnostics (Basel, Switzerland)|February 24, 2024
Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial IntelligencePablo Martínez-Blanco, Miguel Suárez, Sergio Gil-Rojas, et al.
Metabolites|June 26, 2024
Prognostic Impact of Metabolic Syndrome and Steatotic Liver Disease in Hepatocellular Carcinoma Using Machine Learning TechniquesSergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, et al.
Cancers|March 28, 2024
Machine Learning-Based Assessment of Survival and Risk Factors in Non-Alcoholic Fatty Liver Disease-Related Hepatocellular Carcinoma for Optimized Patient ManagementMiguel Suárez, Sergio Gil-Rojas, Pablo Martínez-Blanco, et al.
International Journal of Molecular Sciences|February 24, 2024
Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular CarcinomaSergio Gil-Rojas, Miguel Suárez, Pablo Martínez-Blanco, et al.
Veterinary Sciences|May 26, 2026
Rabbit Does as a Model for Studying Plasma Metabolomic Adaptations Across Reproductive Stages: Insights from Parturition to WeaningJorge Mateo-López, Alejandro Huertas-Herrera, Mónica Toro-Manríquez, et al.
International Journal of Pediatric Otorhinolaryngology|August 31, 2019
Early detection of neonatal hearing loss by otoacoustic emissions and auditory brainstem response over 10 years of experienceFredy A Escobar-Ipuz, Carmen Soria-Bretones, María A García-Jiménez, et al.
Pageof 6