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Bachelor’s degree in Mechanical Engineering (Technical University of Madrid, 2012). Master’s degree in Engineering (UNED, 2015). MSc in Physics and Mathematics (2018-2020). PhD in Applied Mathematics (University of Castilla–La Mancha, 2022). His research has delved into the macroscopic footprints of cancer metabolism identifiable in PET images, and the interplay of oxygen and temperature in cancer using mathematical models. He is currently a postdoc in MOLAB working on the in silico design of clinical trials by means of hybrid computational modeling approaches fed with data from patients and animal models. |
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Metabolic Activity Grows in Human Cancers Pushed by Phenotypic Variability
iScience 26(3) 106118 (2023)
J.J. Bosque, G.F. Calvo, D. Molina-García, J. Pérez-Beteta, A.M. García Vicente, V. M. Pérez-García -
Overcoming chemotherapy resistance in low-grade gliomas: A computational approach
PLoS Computational Biology 19(11): e1011208 (2023)
Delobel T, Ayala-Hernández LE, Bosque JJ, Pérez-Beteta J, Chulián S, García-Ferrer M, Piñero P, Schucht P, Murek M, Pérez-García VM
- 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) - Therapy Optimization in Glioblastoma: An integrative human data-based approach using mathematical models (Stage II)
James S. Mc. Donnell Foundation (USA) (2018 - 2021)
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Bachelor’s degree in Mechanical Engineering (Technical University of Madrid, 2012). Master’s degree in Engineering (UNED, 2015). MSc in Physics and Mathematics (2018-2020). PhD in Applied Mathematics (University of Castilla–La Mancha, 2022). His research has delved into the macroscopic footprints of cancer metabolism identifiable in PET images, and the interplay of oxygen and temperature in cancer using mathematical models. He is currently a postdoc in MOLAB working on the in silico design of clinical trials by means of hybrid computational modeling approaches fed with data from patients and animal models. |
- Metabolic Activity Grows in Human Cancers Pushed by Phenotypic Variability
iScience 26(3) 106118 (2023)
J.J. Bosque, G.F. Calvo, D. Molina-García, J. Pérez-Beteta, A.M. García Vicente, V. M. Pérez-García - Overcoming chemotherapy resistance in low-grade gliomas: A computational approach
PLoS Computational Biology 19(11): e1011208 (2023)
Delobel T, Ayala-Hernández LE, Bosque JJ, Pérez-Beteta J, Chulián S, García-Ferrer M, Piñero P, Schucht P, Murek M, Pérez-García VM
- 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) - Therapy Optimization in Glioblastoma: An integrative human data-based approach using mathematical models (Stage II)
James S. Mc. Donnell Foundation (USA) (2018 - 2021)
