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Graduate in Mathematics (Sevilla University, 2004), Master in Mathematics (Cádiz University, 2014), PhD in Mathematics (Cádiz University, 2016). Assistant profesor at University of Cádiz. She has worked on methodological aspects and on mathematical models of tumor growth and the development of resistances. Currently, her research focuses on the development of mathematical models to optimize Acute Lymphoblastic Leukemia (ALL) treatments in children. |
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Integrated modeling of labile and glycated hemoglobin with glucose for enhanced diabetes detection and short-term monitoring
iScience. 27(4), 109369 (2024)
Romero-Rosales JA, Aragones DG, Escribano-Serrano J, Borrachero MG, Doña AM, Macías López FJ, Santos Mata MA, Jiménez IN, Casamitjana Zamora MJ, Serrano H, Belmonte-Beitia J, Durán MR, Calvo GF
- 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)
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Graduate in Mathematics (Sevilla University, 2004), Master in Mathematics (Cádiz University, 2014), PhD in Mathematics (Cádiz University, 2016). Assistant profesor at University of Cádiz. She has worked on methodological aspects and on mathematical models of tumor growth and the development of resistances. Currently, her research focuses on the development of mathematical models to optimize Acute Lymphoblastic Leukemia (ALL) treatments in children. |
- Integrated modeling of labile and glycated hemoglobin with glucose for enhanced diabetes detection and short-term monitoring
iScience. 27(4), 109369 (2024)
Romero-Rosales JA, Aragones DG, Escribano-Serrano J, Borrachero MG, Doña AM, Macías López FJ, Santos Mata MA, Jiménez IN, Casamitjana Zamora MJ, Serrano H, Belmonte-Beitia J, Durán MR, Calvo GF
- 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)
