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Publications

Journals
  1. L. Prieto Santamaría, E. P. García del Valle, M. Zanin, G. S. Hernández Chan, Y. Pérez Gallardo, y A. Rodríguez-González, “Classifying diseases by using biological features to identify potential nosological models”, Sci Rep, vol. 11, p. 21096 , Oct. 2021, doi: 10.1038/s41598-021-00554-6.
  2. L. Prieto Santamaría, M. Díaz Uzquiano, E. Ugarte Carro, Nieves Ortiz-Roldán, Y. Pérez Gallardo, A. Rodríguez González, “Integrating heterogeneous data to facilitate COVID-19 drug repurposing”, Drug Discovery Today, In Press , Oct. 2021, doi: 10.1016/j.drudis.2021.10.002.
  3. L. Prieto Santamaría, E. Ugarte Carro, M. Díaz Uzquiano, E. Menasalvas Ruiz, Y. Pérez Gallardo, A. Rodríguez González, “A data-driven methodology towards evaluating the potential of drug repurposing hypotheses”, Computational and Structural Biotechnology Journal, vol. 19, pp. 4559–4573 , Jan. 2021, doi: 10.1016/j.csbj.2021.08.003.
  4. E. P. García del Valle, G. Lagunes García, L. Prieto Santamaría, M. Zanin, E. Menasalvas Ruiz, and A. Rodríguez González, “Leveraging network analysis to evaluate biomedical named entity recognition tools”, Sci. Rep., vol 11, p. 13537 , Jun. 2021, doi: 10.1038/s41598-021-93018-w.
  5. E. P. García del Valle, G. Lagunes García, L. Prieto Santamaría, M. Zanin, E. Menasalvas Ruiz, and A. Rodríguez González, “DisMaNET: A network-based tool to cross map disease vocabularies” , Comput. Methods Programs Biomed., vol 207, p. 106233 , Jun. 2021, doi: 10.1016/j.cmpb.2021.106233.
  6. G. Lagunes García, A. Rodríguez González, L. Prieto Santamaría, E. P. García del Valle, M. Zanin, and E. Menasalvas Ruiz, “How Wikipedia disease information evolves over time: An analysis of disease-based articles changes”, Inf. Process. Manag., vol. 57, no. 3, p. 102225 , May 2020, doi: 10.1016/j.ipm.2020.102225.
  7. G. Lagunes García, A. Rodríguez González, L. Prieto Santamaría, E. P. García del Valle, M. Zanin, and E. Menasalvas Ruiz, “DISNET: a framework for extracting phenotypic disease information from public sources,” PeerJ, vol. 8, p. e8580 , Feb. 2020, doi: 10.7717/peerj.8580.
  8. E. P. García del Valle, G. Lagunes García, L. Prieto Santamaría, M. Zanin, E. Menasalvas Ruiz, and A. Rodríguez González, “Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources,” J. Biomed. Inform., vol. 94, p. 103206 , Jun. 2019, doi: 10.1016/j.jbi.2019.103206.
Conferences
  1. E. P. G. del Valle, L. P. Santamaría, G. L. García, M. Zanin, E. M. Ruiz and A. Rodríguez-González, "A Meta-Path-Based Prediction Method for Disease Comorbidities", 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) , 2021, pp. 219-224, doi: 10.1109/CBMS52027.2021.00022.
  2. L. Prieto Santamaría, E.P. García del Valle, G. Lagunes García, M. Zanin, A. Rodríguez González, E. Menasalvas Ruiz, Y. Pérez Gallardo, G.S. Hernández Chan, “Analysis of New Nosological Models from Disease Similarities using Clustering,” in 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) , Jul. 2020, pp. 183–188, doi: 10.1109/CBMS49503.2020.00042.
  3. G. Lagunes García, L. Prieto Santamaria, E. P. Garcia del Valle, M. Zanin, E. Menasalvas Ruiz, and A. Rodríguez González, “Wikipedia Disease Articles: An Analysis of their Content and Evolution,” in 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) , Jun. 2019, pp. 664–671, doi: 10.1109/CBMS.2019.00136.
  4. E. P. Garcia del Valle, G. Lagunes García, E. Menasalvas Ruiz, L. Prieto Santamaría, M. Zanin, and A. Rodríguez González, “Completing Missing MeSH Code Mappings in UMLS Through Alternative Expert-Curated Sources,” in 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) , Jun. 2019, pp. 174–179, doi: 10.1109/CBMS.2019.00044.
  5. E. P. Garcia del Valle, G. Lagunes García, L. Prieto Santamaría, M. Zanin, E. Menasalvas Ruiz, and A. Rodríguez González, “Evaluating Wikipedia as a Source of Information for Disease Understanding,” in 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) , Jun. 2018, pp. 399–404, doi: 10.1109/CBMS.2018.00076.

Seminars

  1. June 2021. Yerun, Universidad Carlos III de Madrid. Spain. Retos para la extracción de información en texto e imagen. Alejandro Rodríguez González, Invited Speaker.
  2. November 2019. Drug repurposing meeting, Biochemical Society Event. Birmingham, UK. Drug repositioning and disease understanding through complex networks creation and analysis. Lucía Prieto Santamaría, Oral Communication.
  3. February 2019. Nokia Bell Labs. Cambridge, UK. DISNET: Extracting phenotypic disease information from public sources for disease understanding and drug repositioning. Alejandro Rodríguez González, Invited Speaker.
  4. September 2018. Network Science Institute (Northeastern University). Boston, Massachusetts, USA. DISNET: Drug repositioning and disease understanding through complex networks creation and analysis. Alejandro Rodríguez González, Visiting Speaker.
  5. 2018. Universidad Politécnica de Madrid. Spain. Máster Universitario en Innovación Digital en Ciencia de Datos (EIT Master School)
  6. 2019. Universidad Politécnica de Madrid. Spain. Máster Universitario en Innovación Digital en Ciencia de Datos (EIT Master School)
  7. 2020. Universidad Politécnica de Madrid. Spain. Máster Universitario en Innovación Digital en Ciencia de Datos (EIT Master School)
  8. 2021. Universidad Politécnica de Madrid. Spain. Máster Universitario en Innovación Digital en Ciencia de Datos (EIT Master School)
  9. 2021. Universidad Politécnica de Madrid. Spain. Máster Universitario en Biología Computacional

Theses

PhD
  1. Gerardo Lagunes García, 2020. “Caracterización de enfermedades basada en su información fenotípica recuperada mediante la extracción de conocimiento biomédico de fuentes de información públicas” , Doctorado en Software, Sistemas y Computación (UPM). link
Master
  1. Pablo Soto García, 2021. “Study and integration of new biological features data from public sources in the context of human complex disease networks”, Máster Universitario en Biología Computacional (UPM).
  2. Rizwan Saleem, 2020. “Towards drug repositioning: analysis of relevant drug features and computational methods”, Máster Universitario en Biología Computacional (UPM).
  3. Sara Jaramillo Cárdenas, 2020. “Analysis of public data sources and drugs information extraction towards the elaboration of human complex disease networks”, Máster Universitario en Biología Computacional (UPM).
  4. Youness Elkhalil, 2020. “Analysis of phenotypic data on diseases and their relationships for drug repositioning”, Máster Universitario en Biología Computacional (UPM).
  5. Lucía Prieto Santamaría, 2019. “Biological and phenotypical data analysis to generate new nosological models of diseases”, Máster Universitario en Biología Computacional (UPM).
Bachelor
  1. Esther Ugarte Carro, 2021. “Drug repurposing approaches and validation through DISNET data”, Grado en Biotecnología (UPM).
  2. Ignacio Montero Callejas, 2021. “Desarrollo de procesos para el análisis y visualización de datos fenotípicos y biológicos en el contexto de las redes de enfermedades humanas”, Grado en Ingeniería Biomédica (UPM).
  3. Lucía Prieto Santamaría, 2018. “Extracción, cálculo de similitudes y análisis de características biológicas para la creación de redes complejas de enfermedades humanas”, Grado en Biotecnología (UPM). link
  4. Sara Luz Haers Méndez, 2017. “Estudio y análisis de características y bases de datos biológicas para la creación de redes humanas complejas”, Grado en Biotecnología (UPM).

Others

  1. Mentioned in La Razón newspaper: "Medicamentos de siempre para nuevas enfermedades" link
  2. Press release in UPM channels: "Una perspectiva diferente para dar una nueva vida a los fármacos" link
  3. Semana de la Ciencia 2020 (Science Week) link
  4. HiloTesis2021 (Thesis Thread) by Eduardo P. García del Valle link
  5. HiloTesis2021 (Thesis Thread) by Lucía Prieto Santamaría link
  6. Cuéntanos tu tesis 2021 (My Thesis in a Nutshell) by Lucía Prieto Santamaría link
    (finalist link )

DISNET

DISNET project is being developed in the Medical Data Analytics Laboratory (MEDAL) at the Centro de Tecnología Biomédica (CTB). CTB is part of Universidad Politécnica de Madrid (UPM). If you have any inquiry please contact with the project leader: Prof. Alejandro Rodríguez González.

Where we are

Centro de Tecnología Biomédica (CTB)
Campus de Montegancedo s/n
28223 Pozuelo de Alarcón
Madrid, Spain (view on map)

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