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BSc in Mathematics (Universidad de Cádiz, 2016). MSc in Mathematics (Universidad de Cádiz, 2018). PhD in Mathematics (2022) at Universidad de Castilla-La Mancha. His activity focuses on the development of mathematical models and data analysis in childhood Acute Lymphoblastic Leukemia (ALL). |
Publications
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Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia
Computers in Biology and Medicine 188, 109831 (2025).
A. Martínez, S. Chulián, A. Niño, R. Picón, J. F. Rodríguez, E. Gálvez, T. Caballero, A. Molinos, A. Castillo, M. Ramírez, M. V. Martínez, A. Míguela, J. L. Fuster, C. Blázquez, V. M. Pérez-García, M. Rosa
Projects
- 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) - Mathematics applied to pediatric oncohematology
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - 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) - Early identification of relapse and treatment optimization in acute lymphoblastic leukaemias through mathematical modelling and discriminant analysis
Junta de Andalucía (2020 - 2023) - Improving cell therapies in neuroblastoma through mathematical modelling
NeN Association (2020 - 2023) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
Chulián García, Salvador
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BSc in Mathematics (Universidad de Cádiz, 2016). MSc in Mathematics (Universidad de Cádiz, 2018). PhD in Mathematics (2022) at Universidad de Castilla-La Mancha. His activity focuses on the development of mathematical models and data analysis in childhood Acute Lymphoblastic Leukemia (ALL). |
Publications
- Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia
Computers in Biology and Medicine 188, 109831 (2025).
A. Martínez, S. Chulián, A. Niño, R. Picón, J. F. Rodríguez, E. Gálvez, T. Caballero, A. Molinos, A. Castillo, M. Ramírez, M. V. Martínez, A. Míguela, J. L. Fuster, C. Blázquez, V. M. Pérez-García, M. Rosa
Projects
- 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) - Mathematics applied to pediatric oncohematology
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - 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) - Early identification of relapse and treatment optimization in acute lymphoblastic leukaemias through mathematical modelling and discriminant analysis
Junta de Andalucía (2020 - 2023) - Improving cell therapies in neuroblastoma through mathematical modelling
NeN Association (2020 - 2023) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
