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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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Growth dynamics of lung nodules: implications for classification in lung cancer screening
Cancer Imaging 24, 113 (2024)
B. Ocaña-Tienda, A. Eroles-Simó, J. Pérez-Beteta, E. Arana, V. M. Pérez-García -
Mathematical modeling of brain metastases growth and response to therapies: A review
Mathematical Biosciences 373, 109207 (2024)
Beatriz Ocaña-Tienda, Víctor M. Pérez-García -
Morphological MRI features as prognostic indicators in brain metastases
Cancer Imaging 24, 111 (2024)
Ocaña-Tienda B, Pérez-Beteta J, Ortiz de Mendivil A, Asenjo B, Albillo D, Pérez-Romasanta LA, LLorente M, Carballo N, Arana E, Pérez-García VM. -
Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia -
Volumetric Analysis: Rethinking Brain Metastases Response Assessment
Neuro-Oncoloy Advances 6(1), 1-9 (2024)
B Ocaña-Tienda, J Pérez-Beteta, JA Romero-Rosales, B Asenjo, A Ortiz, LA Pérez Romasanta, JD Albillo, F Nagib, M Vidal Denis, B. Luque, E. Arana, VM 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
- Growth dynamics of lung nodules: implications for classification in lung cancer screening
Cancer Imaging 24, 113 (2024)
B. Ocaña-Tienda, A. Eroles-Simó, J. Pérez-Beteta, E. Arana, V. M. Pérez-García - Mathematical modeling of brain metastases growth and response to therapies: A review
Mathematical Biosciences 373, 109207 (2024)
Beatriz Ocaña-Tienda, Víctor M. Pérez-García - Morphological MRI features as prognostic indicators in brain metastases
Cancer Imaging 24, 111 (2024)
Ocaña-Tienda B, Pérez-Beteta J, Ortiz de Mendivil A, Asenjo B, Albillo D, Pérez-Romasanta LA, LLorente M, Carballo N, Arana E, Pérez-García VM. - Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia - Volumetric Analysis: Rethinking Brain Metastases Response Assessment
Neuro-Oncoloy Advances 6(1), 1-9 (2024)
B Ocaña-Tienda, J Pérez-Beteta, JA Romero-Rosales, B Asenjo, A Ortiz, LA Pérez Romasanta, JD Albillo, F Nagib, M Vidal Denis, B. Luque, E. Arana, VM 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)
