Zobrazeno 1 - 10 of 23 pro vyhledávání: '"David Bermejo-Peláez"'
1
Akademický článek
Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay
Autor: David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela
Publikováno v: IMA Fungus, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Objectives Cryptococcosis remains a severe global health concern, underscoring the urgent need for rapid and reliable diagnostic solutions. Point-of-care tests (POCTs), such as the cryptococcal antigen semi-quantitative (CrAgSQ) lateral flow
Externí odkaz: https://doaj.org/article/20bf56408e694af09df733209ae7d9c4
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2
Akademický článek
Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy.
Autor: Lin Lin, Elena Dacal, Nuria Díez, Claudia Carmona, Alexandra Martin Ramirez, Lourdes Barón Argos, David Bermejo-Peláez, Carla Caballero, Daniel Cuadrado, Oscar Darias-Plasencia, Jaime García-Villena, Alexander Bakardjiev, Maria Postigo, Ethan Recalde-Jaramillo, Maria Flores-Chavez, Andrés Santos, María Jesús Ledesma-Carbayo, José M Rubio, Miguel Luengo-Oroz
Publikováno v: PLoS Neglected Tropical Diseases, Vol 18, Iss 4, p e0012117 (2024)
Filariasis, a neglected tropical disease caused by roundworms, is a significant public health concern in many tropical countries. Microscopic examination of blood samples can detect and differentiate parasite species, but it is time consuming and req
Externí odkaz: https://doaj.org/article/66c8dd11d42e4239b025ceb7d44c2ea1
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3
Akademický článek
Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients
Autor: Benito Farina, Ana Delia Ramos Guerra, David Bermejo-Peláez, Carmelo Palacios Miras, Andrés Alcazar Peral, Guillermo Gallardo Madueño, Jesús Corral Jaime, Anna Vilalta-Lacarra, Jaime Rubio Pérez, Arrate Muñoz-Barrutia, German R. Peces-Barba, Luis Seijo Maceiras, Ignacio Gil-Bazo, Manuel Dómine Gómez, María J. Ledesma-Carbayo
Publikováno v: Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-15 (2023)
Abstract Background Identifying predictive non-invasive biomarkers of immunotherapy response is crucial to avoid premature treatment interruptions or ineffective prolongation. Our aim was to develop a non-invasive biomarker for predicting immunothera
Externí odkaz: https://doaj.org/article/399bc1686fc84f0fbfd92c6c8452620b
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4
Akademický článek
Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT
Autor: David Bermejo-Peláez, Raúl San José Estépar, María Fernández-Velilla, Carmelo Palacios Miras, Guillermo Gallardo Madueño, Mariana Benegas, Carolina Gotera Rivera, Sandra Cuerpo, Miguel Luengo-Oroz, Jacobo Sellarés, Marcelo Sánchez, Gorka Bastarrika, German Peces Barba, Luis M. Seijo, María J. Ledesma-Carbayo
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract The main objective of this work is to develop and evaluate an artificial intelligence system based on deep learning capable of automatically identifying, quantifying, and characterizing COVID-19 pneumonia patterns in order to assess disease
Externí odkaz: https://doaj.org/article/64da45e272184aca895937a719b24727
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5
Akademický článek
A Smartphone-Based Platform Assisted by Artificial Intelligence for Reading and Reporting Rapid Diagnostic Tests: Evaluation Study in SARS-CoV-2 Lateral Flow Immunoassays
Autor: David Bermejo-Peláez, Daniel Marcos-Mencía, Elisa Álamo, Nuria Pérez-Panizo, Adriana Mousa, Elena Dacal, Lin Lin, Alexander Vladimirov, Daniel Cuadrado, Jesús Mateos-Nozal, Juan Carlos Galán, Beatriz Romero-Hernandez, Rafael Cantón, Miguel Luengo-Oroz, Mario Rodriguez-Dominguez
Publikováno v: JMIR Public Health and Surveillance, Vol 8, Iss 12, p e38533 (2022)
BackgroundRapid diagnostic tests (RDTs) are being widely used to manage COVID-19 pandemic. However, many results remain unreported or unconfirmed, altering a correct epidemiological surveillance. ObjectiveOur aim was to evaluate an artificial intell
Externí odkaz: https://doaj.org/article/e7902dc31afd4a5fbeb4640a97d6347b
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6
Akademický článek
Digital Platform for Automatic Qualitative and Quantitative Reading of a Cryptococcal Antigen Point-of-Care Assay Leveraging Smartphones and Artificial Intelligence
Autor: David Bermejo-Peláez, Narda Medina, Elisa Álamo, Juan Carlos Soto-Debran, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodriguez-Tudela, Ana Alastruey-Izquierdo
Publikováno v: Journal of Fungi, Vol 9, Iss 2, p 217 (2023)
Cryptococcosis is a fungal infection that causes serious illness, particularly in immunocompromised individuals such as people living with HIV. Point of care tests (POCT) can help identify and diagnose patients with several advantages including rapid
Externí odkaz: https://doaj.org/article/2ac63cdfc10f4813a85676fa851fac6e
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7
Akademický článek
Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection.
Autor: Elena Dacal, David Bermejo-Peláez, Lin Lin, Elisa Álamo, Daniel Cuadrado, Álvaro Martínez, Adriana Mousa, María Postigo, Alicia Soto, Endre Sukosd, Alexander Vladimirov, Charles Mwandawiro, Paul Gichuki, Nana Aba Williams, José Muñoz, Stella Kepha, Miguel Luengo-Oroz
Publikováno v: PLoS Neglected Tropical Diseases, Vol 15, Iss 9, p e0009677 (2021)
Soil-transmitted helminths (STH) are the most prevalent pathogens among the group of neglected tropical diseases (NTDs). The Kato-Katz technique is the diagnosis method recommended by the World Health Organization (WHO) although it often presents a d
Externí odkaz: https://doaj.org/article/b68efe3111fc440fac703e9e3903abb9
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