This line of work is framed in the area of Bioinformatics and aims to provide novel solutions to problems related to precision medicine and offer help in the investigation of the mechanisms inherent to diseases. In this way, the application of AI techniques, more specifically Machine Learning (ML), and existing computing capabilities to the field of health will make it possible to generate support systems for physicians that facilitate their work and the quality of the services provided, resulting in a better quality of life for patients. Thus, the aim is to apply techniques that have proven their validity and effectiveness in other fields, such as biometrics, handwritten text recognition, and automatic translation to healthcare.
Andrés Larroza, Francisco Javier Pérez-Benito, Raquel Tendero Alarcón, Juan Carlos Pérez Cortés, Marta Román, Rafael Llobet Azpitarte. (2024).
Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model.
Diagnostics 14(10), .
ISBN:https://portal.issn.org/resource/ISSN/2075-4418
https://doi.org/10.3390/diagnostics14101015
Breast Delineation in Full-Field Digital Mammography Using the Segment Anything Model.
Diagnostics 14(10), .
ISBN:https://portal.issn.org/resource/ISSN/2075-4418
https://doi.org/10.3390/diagnostics14101015
José Ramón Navarro Cerdán, Manuel Sánchez Gomis, Patricia Pons, Santiago Gálvez Settier, Francisco Valverde, Ana Ferrer-Albero, Inmaculada Sauri, Antonio Fernández, Josep Redón. (2024).
Effects of Comorbidities (Chronic Illness) on Hospitalization and Mortality Risks. (Chapter 8)
Brian Pickering et al. (eds).
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment, Boston-Delft: now publishers, 87-102
ISBN: 978-1-63828-237-2
http://dx.doi.org/10.1561/9781638282372.ch8
Effects of Comorbidities (Chronic Illness) on Hospitalization and Mortality Risks. (Chapter 8)
Brian Pickering et al. (eds).
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment, Boston-Delft: now publishers, 87-102
ISBN: 978-1-63828-237-2
http://dx.doi.org/10.1561/9781638282372.ch8
Ana Leitão, Pau Redón, José Ramón Navarro Cerdán, Santiago Galvez-Settier, Evert van Loenen, Josep Redon. (2024).
Monitoring Sepsis Patients in the Emergency Department: The Use of a Real-Time Location System. (Chapter 21)
Brian Pickering et al. (eds).
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment, Boston-Delft: now publishers, 265-279
ISBN: 978-1-63828-237-2
http://dx.doi.org/10.1561/9781638282372.ch21
Monitoring Sepsis Patients in the Emergency Department: The Use of a Real-Time Location System. (Chapter 21)
Brian Pickering et al. (eds).
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment, Boston-Delft: now publishers, 265-279
ISBN: 978-1-63828-237-2
http://dx.doi.org/10.1561/9781638282372.ch21
Roland Roller, Supriyo Chatterjea, Brian Pickering, Holmer Hemsen, Dimitrios Vogiatzis, Ricard Martínez Martínez, Georg Langs, Simona Rabinovici-Cohen, Wiebke Duettmann, Alex Sangers, Maria-Esther Vidal, Ernestina Menasalvas Ruiz, Marga Martin Sanchez, Josep Redon, Ana Ferrer-Albero, Alexandra Muñoz-Oliver, Gerrit J. Noordergraaf, Igor Paulussen, Per Henrik Vincent, Arne IJpma, José-Ramón Navarro-Cerdán, Santiago Gálvez-Settier. (2024).
General Learnings From the Horizon 2020 Project BigMedilytics. (Chapter 27)
Brian Pickering et al. (eds).
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment, Boston-Delft: now publishers, 340-360
ISBN: 978-1-63828-237-2
http://dx.doi.org/10.1561/9781638282372.ch27
General Learnings From the Horizon 2020 Project BigMedilytics. (Chapter 27)
Brian Pickering et al. (eds).
Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment, Boston-Delft: now publishers, 340-360
ISBN: 978-1-63828-237-2
http://dx.doi.org/10.1561/9781638282372.ch27
Silvia Ruiz-España, Rafael Ortiz-Ramón, Úrsula Pérez-Ramírez, Antonio Díaz-Parra, Roberto Ciccocioppo, Patrick Bach, Sabine Vollstädt-Klein, Falk Kiefer, Wolfgang H. Sommer, Santiago Canals, David Moratal. (2023).
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models.
Computerized Medical Imaging and Graphics, In Press.
ISBN:0895-6111
https://doi.org/10.1016/j.compmedimag.2023.102187
MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models.
Computerized Medical Imaging and Graphics, In Press.
ISBN:0895-6111
https://doi.org/10.1016/j.compmedimag.2023.102187
Juan Alberto Delgado Sanchis, Pedro Pons Suñer, Noemi Alvarez, Claudia Sargas, Sara Dorado, Jose Vicente Gil Ortí, François Signol, Marta Llop, Laura Arnal Benedicto, Rafael Llobet, Juan-Carlos Perez-Cortes, Rosa Ayala, Eva Barragán. (2023).
A Supervised Machine Learning Model to Predict Therapy Response and Mortality at 90 days After Acute Myeloid Leukemia Diagnosis.
medRxiv, .
https://doi.org/10.1101/2023.06.26.23291731
A Supervised Machine Learning Model to Predict Therapy Response and Mortality at 90 days After Acute Myeloid Leukemia Diagnosis.
medRxiv, .
https://doi.org/10.1101/2023.06.26.23291731
Diana Castilla, Omar del Tejo Catalá, Patricia Pons, François Signol, Beatriz Rey, Carlos Suso-Ribera, Juan-Carlos Perez-Cortes. (2023).
Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data.
User Modeling and User-Adapted Interaction, .
https://doi.org/10.1007/s11257-023-09373-y
Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data.
User Modeling and User-Adapted Interaction, .
https://doi.org/10.1007/s11257-023-09373-y
J. Ramón Navarro-Cerdán, Pedro Pons-Suñer, Laura Arnal Benedicto, Joaquim Arlandis, Rafael Llobet, Juan-Carlos Perez-Cortes, Francisco Lara-Hernández, Luis Alvarez, Ana-Bárbara García-García, Felipe Javier Chaves. (2023).
Machine-learning approach for Type 2 Diabetes diagnosis and prognosis models over heterogeneous feature spaces.
medRxiv, .
https://doi.org/10.1101/2023.07.26.23293097
Machine-learning approach for Type 2 Diabetes diagnosis and prognosis models over heterogeneous feature spaces.
medRxiv, .
https://doi.org/10.1101/2023.07.26.23293097
F.J. Pérez-Benito, A. Larroza, J-C. Pérez-Cortes, R. Llobet. (2023).
Three-blind validation of a Deep Learning model to obtain the dense tissue area in digital mammographies.
Mathematical Modelling in Engineering & Human Behaviour 2023, 62-71.
ISBN:978-84-09-57681-4
https://imm.webs.upv.es/jornadas/proceedings/Modelling2023.pdf
Three-blind validation of a Deep Learning model to obtain the dense tissue area in digital mammographies.
Mathematical Modelling in Engineering & Human Behaviour 2023, 62-71.
ISBN:978-84-09-57681-4
https://imm.webs.upv.es/jornadas/proceedings/Modelling2023.pdf
F.J. Pérez-Benito. (2023).
We took part in the mathematical modeling congress.
Noticias ITI, .
https://intranet.iti.upv.es/noticias/2023/07/participamos_en_el_congreso_de_modelado_matematico/
We took part in the mathematical modeling congress.
Noticias ITI, .
https://intranet.iti.upv.es/noticias/2023/07/participamos_en_el_congreso_de_modelado_matematico/