|
|
|
BSc in Physics (University of Córdoba, 2014) and PhD in Applied Mathematics (University of Castilla-La Mancha, 2024). Currently, she is a postdoctoral researcher at the Bioinformatics Unit of the Spanish National Cancer Research Centre (CNIO). Her research combines mathematical modeling, image analysis, and machine learning to study cancer dynamics, with a focus on brain tumors. She integrates clinical, imaging, and omics data to identify predictive biomarkers and improve patient-specific treatment strategies.
|
Publications
-
A clinical decision-support framework to differentiate radiation necrosis from tumor progression in brain metastases
Neuro-oncology Advances (2026) vdag185
B Ocaña-Tienda, ZHC Zhou, A Ramos, A Ortiz, F Nagib, B Asenjo, A Bastero, C Tramblin, E Arana, VM Pérez-García -
Intercellular adhesion molecule 1 links glioblastoma biology to a scalable prognostic model integrating clinical, imaging, and molecular features
Neuro-oncology Advances (2026) vdag182
S Gandhi, B Ocaña, M Bettencourt, OS Singh, K Devaraja, ER Irish, D Molina, S Karimi, Y Mamatjan, J Sosa, I McIntyre, AF Gao, J Pérez, A Ramos, A Hernández, B Asenjo, M Pino, P Sánchez-Gómez, KD Aldape, C Santos, K Drummond, Ian F Parney, C Velasquez, A Mansouri, VM Pérez-García, G Zadeh, S Mansouri
Projects
- Model-based digital twins for biomarker development and virtual clinical trials in oncology.
Supported by project SBPLY/24/180225/000193, funded by Junta de Comunidades de Castilla-La Mancha. Spain and European Regional Development Fund (ERDF A way of making Europe). (2025 - 2028) - 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)
Ocaña Tienda, Beatriz
|
BSc in Physics (University of Córdoba, 2014) and PhD in Applied Mathematics (University of Castilla-La Mancha, 2024). Currently, she is a postdoctoral researcher at the Bioinformatics Unit of the Spanish National Cancer Research Centre (CNIO). Her research combines mathematical modeling, image analysis, and machine learning to study cancer dynamics, with a focus on brain tumors. She integrates clinical, imaging, and omics data to identify predictive biomarkers and improve patient-specific treatment strategies.
|
Publications
- A clinical decision-support framework to differentiate radiation necrosis from tumor progression in brain metastases
Neuro-oncology Advances (2026) vdag185
B Ocaña-Tienda, ZHC Zhou, A Ramos, A Ortiz, F Nagib, B Asenjo, A Bastero, C Tramblin, E Arana, VM Pérez-García - Intercellular adhesion molecule 1 links glioblastoma biology to a scalable prognostic model integrating clinical, imaging, and molecular features
Neuro-oncology Advances (2026) vdag182
S Gandhi, B Ocaña, M Bettencourt, OS Singh, K Devaraja, ER Irish, D Molina, S Karimi, Y Mamatjan, J Sosa, I McIntyre, AF Gao, J Pérez, A Ramos, A Hernández, B Asenjo, M Pino, P Sánchez-Gómez, KD Aldape, C Santos, K Drummond, Ian F Parney, C Velasquez, A Mansouri, VM Pérez-García, G Zadeh, S Mansouri
Projects
- Model-based digital twins for biomarker development and virtual clinical trials in oncology.
Supported by project SBPLY/24/180225/000193, funded by Junta de Comunidades de Castilla-La Mancha. Spain and European Regional Development Fund (ERDF A way of making Europe). (2025 - 2028) - 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)
