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Graduate in Physics (Córdoba University) and MSc in Biomedical Engineering. She is now a Ph.D. student at MOLAB currently developing mathematical models of brain metastases growth and image-based biomarkers using data from large clinical datasets. She is also working on microscopic models to understand the initiation of brain metastases in collaboration with the University of Oxford and the Spanish National Cancer Research Center (CNIO |
Publications
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A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data
Scientific Data 10, 208 (2023)
Ocaña-Tienda B, Pérez-Beteta J, Villanueva JD, Romero JA, Molina D, Suter Y, Asenjo B, Albillo D, Ortiz A, Pérez-Romasanta LA, González E, Llorente M, Carballo N, Nagib F, Vidal M, Luque B, Reyes M, Arana E, Pérez-García VM -
Growth dynamics of brain metastases differentiate radiation necrosis from recurrence
Neurooncology Advances 5(1), vdac179 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, B. Asenjo, A. Ortiz de Mendivil, D. Albillo, LA Pérez-Romasanta, E. González del Portillo, M. Llorente, N. Carballo, E. Arana, Víctor M Pérez-García -
Growth exponents reflect evolutionary processes and treatment response in brain metastases
npj Systems Biology and Applications 9, 35 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, J. Jiménez-Sánchez, O. Leon-Triana, A. Ortiz de Mendivil, B. Asenjo, D. Albillo, L. Pérez-Romasanta, M. Valiente, L. Zhu, P. García- Gómez, E. González-Del Portillo, M. Llorente, N. Carballo, E. Arana, V. M. Pérez-García
Projects
- Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027) - Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - Mathematical models for the digital transition in neuro-oncology: In-silico design of a clinical trial for glioblastoma.
Ministerio de Ciencia e Innovación (NextGenerationEU) (2023 - 2024) - Validation and transfer of oncological data and biomarkers based on mathematical models (AFTERbioMATH)
Ministry of Science and Innovation (Spain), Proof of Concept Program (2023 - 2024) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
Ocaña Tienda, Beatriz
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Graduate in Physics (Córdoba University) and MSc in Biomedical Engineering. She is now a Ph.D. student at MOLAB currently developing mathematical models of brain metastases growth and image-based biomarkers using data from large clinical datasets. She is also working on microscopic models to understand the initiation of brain metastases in collaboration with the University of Oxford and the Spanish National Cancer Research Center (CNIO |
Publications
- A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data
Scientific Data 10, 208 (2023)
Ocaña-Tienda B, Pérez-Beteta J, Villanueva JD, Romero JA, Molina D, Suter Y, Asenjo B, Albillo D, Ortiz A, Pérez-Romasanta LA, González E, Llorente M, Carballo N, Nagib F, Vidal M, Luque B, Reyes M, Arana E, Pérez-García VM - Growth dynamics of brain metastases differentiate radiation necrosis from recurrence
Neurooncology Advances 5(1), vdac179 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, B. Asenjo, A. Ortiz de Mendivil, D. Albillo, LA Pérez-Romasanta, E. González del Portillo, M. Llorente, N. Carballo, E. Arana, Víctor M Pérez-García - Growth exponents reflect evolutionary processes and treatment response in brain metastases
npj Systems Biology and Applications 9, 35 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, J. Jiménez-Sánchez, O. Leon-Triana, A. Ortiz de Mendivil, B. Asenjo, D. Albillo, L. Pérez-Romasanta, M. Valiente, L. Zhu, P. García- Gómez, E. González-Del Portillo, M. Llorente, N. Carballo, E. Arana, V. M. Pérez-García
Projects
- Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027) - Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - Mathematical models for the digital transition in neuro-oncology: In-silico design of a clinical trial for glioblastoma.
Ministerio de Ciencia e Innovación (NextGenerationEU) (2023 - 2024) - Validation and transfer of oncological data and biomarkers based on mathematical models (AFTERbioMATH)
Ministry of Science and Innovation (Spain), Proof of Concept Program (2023 - 2024) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
