Research
Projects
DISNET
“Drug repositioning and disease understanding through complex networks creation and analysis”, http://disnet.ctb.upm.es/, RTI2018-094576-A-I00 del Spanish Ministry of Science, Innovation and Universities.
- Human disease complex networks to gain a better disease understanding and drug repurposing. Extraction and integration of biomedical data structured in 3 levels: the phenotypical, the biological and pharmacological.
- Intensive analysis of the information and generation of drug repurposing hypotheses. Employment of machine learning techniques both supervised and unsupervised.
- Management tasks. Scientific writing and communication, as well as dissemination to the general public.
CUREX
“Secure and private health data exchange”, https://curex-project.eu/, European Commission, Horizon 2020, G.A. n 826404
- Creation of a basic NLP module for texts related to computer network topologies.
- Development of an ontology for the semantic representation of data regarding asset discovery in distributed networks for healthcare environments.
P4-LUCAT
“Personalized medicine for lung cancer treatment”, https://p4-lucat.eu/, ERA PerMed of Joint Transnational Call 2019 No. 163.
- Design and implementation of a relational database for the storage of lung cancer patient information.
- Drafting of deliverables and assistance in the project management tasks in its initial stages.
MAVIS
Study of sentiments expressed in social media during the period 2015-2018 in post related to vaccines, funded by MSD, Spain, VEAP ID: 7789.
- Analysis, visualization and understanding of data collected from Twitter posts and their polarity.
- Scientific writing and dissemination in the form of journal papers.
3DR-GNN
“Data-driven drug repositioning applying graph neural networks”, PID2021-122659OB-I00 from the Spanish Ministry of Science, Innovation and Universities.
- Writing of the project proposal. Project planification and management.
GRENADA
“Drug repurposing hypotheses through a data-driven approach”, PDC2022-133173-I00 from the Spanish Ministry of Science, Innovation and Universities
- Writing of the project proposal. Project planification and management.
Publications
JCR-indexed journals
[2022]
- A.J. Diaz-Honrubia, A. Blázquez Herranz, L. Prieto Santamaría, E. Menasalvas Ruiz, A. Rodríguez-González, G. Gonzalez-Granadillo, R.Diaz, E. Panaousis, and C. Xenakis, «A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool», J. Inf. Secur. Appl., vol. 71, p. 103350, Dec. 2022, doi: 10.1016/j.jisa.2022.103350. [CUREX]
- L. Prieto Santamaría*, M. Díaz Uzquiano*, E. Ugarte Carro, N. Ortiz-Roldán, Y. Pérez Gallardo, and A. Rodríguez-González, «Integrating heterogeneous data to facilitate COVID-19 drug repurposing», Drug Discov. Today, vol. 27, no. 2, pp. 558–566, Feb. 2022, doi: 10.1016/j.drudis.2021.10.002. [DISNET]
- B. Otero-Carrasco, L. Prieto Santamaría, E. Ugarte Carro, J. P. Caraça-Valente Hernández, and A. Rodríguez-González, «Repositioning Drugs for Rare Diseases Based on Biological Features and Computational Approaches», Healthcare, vol. 10, no. 9, Art. no. 9, Sep. 2022, doi: 10.3390/healthcare10091784. [DISNET]
[2021]
- L. Prieto Santamaría, E. P. García del Valle, M. Zanin, G. S. Hernández Chan, Y. Pérez Gallardo, and A. Rodríguez-González, «Classifying diseases by using biological features to identify potential nosological models», Sci. Rep., vol. 11, no. 1, p. 21096, Oct. 2021, doi: 10.1038/s41598-021-00554-6. [DISNET]
- L. Prieto Santamaría*, E. Ugarte Carro*, M. Díaz Uzquiano, E. Menasalvas Ruiz, Y. Pérez Gallardo, and A. Rodríguez-González, «A data-driven methodology towards evaluating the potential of drug repurposing hypotheses», Comput. Struct. Biotechnol. J., vol. 19, pp. 4559–4573, 2021, doi: 10.1016/j.csbj.2021.08.003. [DISNET]
- L. Prieto Santamaría, J. M. Tuñas, D. Fernández Peces-Barba, A. Jaramillo, M. Cotarelo, E. Menasalvas Ruiz, A. J. Conejo Fernández, A. Arce, A. Gil de Miguel, and A. Rodríguez-González, «Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018», Hum. Vaccines Immunother., pp. 1-15, Mar. 2021, doi: 10.1080/21645515.2021.1877597. [MAVIS]
- L. Prieto Santamaría, D. Fernández Lobón, A. J. Díaz-Honrubia, E. Menasalvas Ruiz, S. Nifakos, and A. Rodríguez-González, «Towards the representation of network assets in health care environments using ontologies», Methods Inf. Med., vol. 60, no. S 02, pp. e89–e102, Dec. 2021, doi: 10.1055/s-0041-1735621. [CUREX]
- 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., p. 106233, Jun. 2021, doi: 10.1016/j.cmpb.2021.106233. [DISNET]
- 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, no. 1, Jun. 2021, doi: 10.1038/s41598-021-93018-w. [DISNET]
[2020]
- A. Rodríguez-González, J. M. Tuñas, L. Prieto Santamaría, D. Fernández Peces-Barba, E. Menasalvas Ruiz, A. Jaramillo, M. Cotarelo, A. J. Conejo Fernández, A. Arce, and A. Gil de Miguel, «Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques», Appl. Sci., vol. 10, no. 24, p. 9019, Dec. 2020, doi: 10.3390/app10249019. [MAVIS]
- G. Lagunes García, A. Rodríguez-González, L. Prieto Santamaría, E. P. García del Valle, M. Zanin, and E. Menasalvas Ruiz, «How does Wikipedia disease information evolve 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. [DISNET]
- 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. [DISNET]
[2019]
- 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. [DISNET]
Conference Proceedings
[2022]
- A. Álvarez Pérez, A. Iglesias-Molina, L. Prieto Santamaría, M. Poveda-Villalón, C. Badenes-Olmedo, and A. Rodríguez-González, ‘EBOCA: Evidences for BiOmedical Concepts Association Ontology’, in Knowledge Engineering and Knowledge Management, Cham, 2022, pp. 152–166. doi: 10.1007/978-3-031-17105-5_11. [DISNET] & [Drugs4COVID]
- A. Ayuso Muñoz, E. Ugarte Carro, L. Prieto Santamaría, B. Otero-Carrasco, E. Menasalvas Ruiz, Y. Pérez Gallardo, and A. Rodríguez-González, “REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data”, in 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), Jul. 2022, pp. 7-12, doi: 10.1109/CBMS55023.2022.00009. [DISNET]
- B. Otero-Carrasco, A. Pérez Pérez, E. Mensalvas Ruiz, J. P. Caraça-Valente Hernández, L. Prieto Santamaría, and A. Rodríguez-González, “Drug repositioning with gender perspective focused on Adverse Drug Reactions” in 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), Jul. 2022, pp. 435-440, doi: 10.1109/CBMS55023.2022.00084. [DISNET]
- B. Otero-Carrasco, L. Prieto Santamaría, E. Ugarte Carro, J.P. Caraça-Valente Hernández, A. Rodríguez González, ‘A computational drug repositioning method for rare diseases’, in Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259, pp. 551-561. Springer, Cham. doi: 10.1007/978-3-031-06527-9_55. [DISNET]
[2021]
- E. P. García Del Valle, L. Prieto Santamaría, G. Lagunes García, M. Zanin, E. Menasalvas Ruiz, and A. Rodríguez-Gonzalez, ‘A meta-path-based prediction method for disease comorbidities’, in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Jun. 2021, pp. 219–224. doi: 10.1109/CBMS52027.2021.00022. [DISNET]
[2020]
- L. Prieto Santamaría, E. P. García Del Valle, G. Lagunes Garcia, M. Zanin, A. Rodríguez-Gonzalez, 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. [DISNET]
[2019]
- E. P. García 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. [DISNET]
- G. Lagunes García, L. Prieto Santamaría, E. P. García 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. [DISNET]
[2018]
- 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. [DISNET]
PhD
TBC