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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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Modelling the effect of vascular status on tumour evolution and outcome after thermal therapy
Applied Mathematical Modelling 110 (2022) 207–240
Jesús J. Bosque, Gabriel F. Calvo, María Cruz Navarro -
Multiple and diffuse gliomas by 18F-Fluorocholine PET/CT: two sides of the same coin
Clinical Nuclear Medicine 47(6), e457-e465 (2022)
A. M. García Vicente, J. Pérez-Beteta, J. J. Bosque, A. M. Soriano, V. M. Pérez-García -
SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients
European Radiology 32, 3889-3902 (2022)
G. A. Jiménez-Londoño, A. M. García Vicente, J. J. Bosque, M. Amo-Salas, J. Pérez-Beteta, A. F. Honguero-Martinez, V. M. Pérez-García, A. M. Soriano
- 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)
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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. |
- Modelling the effect of vascular status on tumour evolution and outcome after thermal therapy
Applied Mathematical Modelling 110 (2022) 207–240
Jesús J. Bosque, Gabriel F. Calvo, María Cruz Navarro - Multiple and diffuse gliomas by 18F-Fluorocholine PET/CT: two sides of the same coin
Clinical Nuclear Medicine 47(6), e457-e465 (2022)
A. M. García Vicente, J. Pérez-Beteta, J. J. Bosque, A. M. Soriano, V. M. Pérez-García - SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients
European Radiology 32, 3889-3902 (2022)
G. A. Jiménez-Londoño, A. M. García Vicente, J. J. Bosque, M. Amo-Salas, J. Pérez-Beteta, A. F. Honguero-Martinez, V. M. Pérez-García, A. M. Soriano
- 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)
