Biosketch Anna Pedrola

2019 – Master’s in Bioinformatics and Biostatistics. Universitat Oberta de Catalunya, Spain.
2017 – Bachelor’s Degree in Biomedical Engineering. Universitat Politècnica de Catalunya, Spain.

Standardization of clinical data under the OMOP (Observational Medical Outcomes Partnership) model.
Advanced visualization of clinical, genomic, and other ‘omics’ data through platforms such as cBioPortal.
Integration of databases and platforms to ensure efficient and centralized information management.
Development of customized electronic case report forms (eCRF) in REDCap for research data capture and management.
Implementation of ETL processes for automating data transfer between diverse sources in research environments.
Research in Artificial Intelligence for automated structuring of unstructured data.
Development of customized applications for patient and sample tracking in clinical trials, as well as tailored solutions for research projects.

SYNTHIA: Synthetic Data Generation Framework for Integrated Validation of Use Cases and AI Healthcare Applications. Funded by the European Commission. 01/09/2024-31/08/2029. PI: Rodrigo Dienstmann.
CCE_DART: Building Data Rich Clinical Trials. CCE_DART is an innovative EU- funded project dedicated to deliver novel methods for the design and implementation of newer, more efficient and effective clinical trials in oncology.
Cancer Core Europe: Seven Leading Cancer Centres Improve Cancer Health in Europe.
Historia clínica Inteligente: Transformando Notas Clínicas en Datos Estructurado.
AI4Lungs: AI-Based Personalised Care for Respiratory Disease using Multi-Modal Data in Patient Stratification
EUCANCan: a federated network of aligned and interoperable infrastructures for the homogeneous analysis, management and sharing of genomic oncology data for Personalized Medicine.
UpSMART Accelerator Management Team – SMART Experimental Cancer Medicine Trials eNABLED.
American Association for Cancer Research’s (AACR) Genomics Evidence Neoplasia Information Exchange (GENIE) project.

Pedrola A, Franch-Expósito S, Lahoz S, Esteban-Fabró R, Dienstmann R, Bassaganyas L, et al. PCIG: a web-based application to explore immune-genomics interactions across cancer types. Bioinformatics. 2022 Apr 15;38(8):2374–2376.
Matos I, Villacampa G, Hierro C, Martin-Liberal J, Berché R, Pedrola A, et al. Phase I prognostic online (PIPO): A web tool to improve patient selection for oncology early phase clinical trials. Eur J Cancer. 2021 Sep;155:168–78.
Cedres, S., Assaf, J. D., Iranzo, P., Callejo, A., Pardo, N., Navarro, A., Martinez-Marti, A., Marmolejo, D., Rezqallah, A., Carbonell, C., Frigola, J., Amat, R., Pedrola, A., Dienstmann, R., & Felip, E. (2021). Efficacy of chemotherapy for malignant pleural mesothelioma according to histology in a real-world cohort. Scientific reports, 11(1), 21357.
Mirallas, O., Martin-Cullell, B., Navarro, V., Vega, K.S., Recuero-Borau, J., Gómez- Puerto, D., López-Valbuena, D., de Torres, C.S., Andurell, L., Pedrola, A. and Berché, R., 2024. Development of a prognostic model to predict 90-day mortality in hospitalised cancer patients (PROMISE tool): a prospective observational study. The Lancet Regional Health–Europe.