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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.
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Publications
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)
Ocaña Tienda, Beatriz
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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.
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Publications
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)
