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“Graduate (1991) PhD (Complutense U., Madrid, 1995). Associate professor (1997) and full professor (2002) in Applied Mathematics at the Mathematics Department of the University of Castilla-La Mancha. He has published more than 170 research papers with more than 11000 Google citations and has an H-index of 52. He is editor in chief of the journal “Physica D: “Nonlinear Phenomena” and serves in the editorial board of “npj Systems Biology and Applications”. He is the coordinator of the Applied Mathematics panel at the Spanish National Research Agency and has been a member of the Marie Curie evaluation committee and of many international project evaluation boards in oncology and/or applied mathematics in France, UK, Poland, Austria, Romania, Cyprus, Latvia, Spain, etc. His main field of research is the application of mathematical modeling to oncology and more specifically to brain tumors, metastasis, cellular immunotherapies, biomarkers, medical images, lymphomas, leukaemias, prostate cancer, etc. In this field he has led several projects funded by public institutions, private foundations such as the James S. Mc. Donnell Foundation and pharmaceutical companies such as NOVARTIS. More specifically he is interested in the development and validation of mechanistic mathematical models that shed light on oncological processes and may be used as platforms to personalize treatments and develop in-silico trials. Also he is interested in the development of mathematical model-based biomarkers of response to treatments.” |
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A Mathematical Model Describes the Malignant Transformation of Low Grade Gliomas: Prognostic implications
PLOS One 12(8):e0179999 (2017)
M.U. Bogdanska, M. Bodnar, M.J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-González, V.M. Pérez-García -
A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications
Mathematical Biosciences 288 (2017) 1-13
M.U. Bogdanska, M. Bodnar, J. Belmonte-Beitia, M. Murek, P. Schucht, J. Beck, V.M. Pérez-García -
Assessing response in locally advanced breast cancer treated with neaodjuvant chemotherapy: Predictive and prognostic potential of volume-based metabolic variables with 18F-FDG PET/CT
Cancer Research 77, P4-01-04 (2017)
M.D.M. Munoz-Sanchez, A. Soriano, A.M. Garcia-Vicente, M.J. Molina-Garrido, J. Perez-Beteta, A. Olaverri-Herandez, D. Molina-Garcia, J.A.S. Crespo, V.M. Perez-Garcia, E. Val-Pérez, F. Martín-Ordóñez, J.I. Chacón-Muñiz, R. Álvarez-Cabellos, R. Espinosa-Aunión, C. Ortega-Ruipérez, M.J. Cantero, A. Castro, E. Vaquero, E. Catalá, F. Torrecillas and A. Soriano-Castrejón -
Combined in-silico and on-chip validation of pseudopalisade formation hypothesis in Glioblastoma
Neuro-Oncology 19(3):iii62-iii62 (2017)
A. Martínez-González, J.M. Ayuso, R. Monge, M. Virumbrales-Muñoz, G.A. Llamazares, A. Hernández-Laín, P. Sánchez-Gómez, V.M. Pérez-García, L.J. Fernández, I. Ochoa -
Glioblastoma on a microfluidic chip: Generating pseudopalisades and enhancing cancer cell’s aggressiveness through blood vessel obstruction events
Neuro-Oncology 19(4), 503-513 (2017).
J.M. Ayuso, R. Monge, A. Martínez-González, G.A. Llamazares, J. Berganzo, A. Hernández-Laín, J. Santolaria, M. Doblaré, C. Hubert, J. Rich, P. Sánchez-Gómez, V.M. Pérez-García, I. Ochoa, L.J. Fernández -
Glioblastoma: Does the pre-treatment geometry matter? A postcontrast T1 MRI-based study
European Radiology 27(3), 1096-1104 (2017)
J. Pérez-Beteta, A. Martínez-González, D. Molina, M. Amo, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, M. Claramonte, J. Barcia, L. Iglesias, J. Avecillas, D.Albillo, M. Navarro, J.M. Villanueva, J.C. Paniagua, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, M.C. Delgado, A. Del Valle, A. Falkov, P. Schucht, E. Arana, L. Pérez-Romasanta, V. M.Pérez-García -
Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
PLoS One 12(6):e0178843 (2017)
D. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V.M. Pérez-García -
Malignant transformation of low-grade gliomas. Prognostic implications from mathematical model
Neuro-Oncology 19(3), iii85-iii85 (2017)
M.U. Bogdanska, M. Bodnar, M.J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-Gonzalez, V.M. Perez-Garcia -
Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer: Relation with tumor biology.
Molecular Imaging and Biology 19(4), 636-644 (2017)
A.M. García-Vicente, J. Pérez-Beteta, A. Martínez-González, V.M. Pérez-García, D. Molina, G.A. Jiménez Londoño, A. Soriano-Castrejón -
Non-Standard Radiotherapy Fractionations Delay the Time to Malignant Transformation in Low-Grade Gliomas
PLoS One 12(6):e0178552 (2017)
A. Henares-Molina, S. Benzekry, P.C. Lara, M. García-Rojo, V.M Pérez-García, A. Martínez-González -
Novel geometrical imaging biomarkers predict survival and allow for patient selection for surgery in glioblastoma patients
Neuro-Oncology 19(3):iii80-iii80 (2017)
J. Pérez-Beteta, D. Molina, A. Martínez-González, E. Arregui, B. Asenjo, L. Iglesias, J. Martino, L. Pérez-Romasanta, E. Arana, V.M. Pérez-García -
Optimized radiotherapy protocols delay the malignant transformation of low-grade gliomas in-silico
Neuro Oncol (2017) 19 (3): iii12.
A. Henares-Molina, S. Benzecry, P. Lara, M. García-Rojo, V.M. Pérez-García, A. Martínez-González -
Recommendations for computation of textural measures obtained from 3D brain tumor MRIs: A robustness analysis points out the need for standardization
Neuro-Oncology 19 (3): iii44 (2017)
D. Molina, J. Pérez-Beteta, A. Martínez-González, C. Velásquez, J. Martino, B. Luque, A. Revert, I. Herruzo, E. Arana, V.M. Pérez-García -
Towards individualized survival prediction in glioblastoma patients using machine learning methods
Neuro-Oncology 19(3):iii84-iii84 (2017)
L. Vera, J. Pérez-Beteta, D. Molina, J.M. Borrás, M. Benavides, J.A. Barcia, C. Velásquez, D. Albillo, P. Lara, V.M. Pérez-García
- 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) - Optimization of tisagenlecleucel treatments of lymphoma: An integrated human data-based approach using mathematical models
NOVARTIS (2023 - 2025) - 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)
“Graduate (1991) PhD (Complutense U., Madrid, 1995). Associate professor (1997) and full professor (2002) in Applied Mathematics at the Mathematics Department of the University of Castilla-La Mancha. He has published more than 170 research papers with more than 11000 Google citations and has an H-index of 52. He is editor in chief of the journal “Physica D: “Nonlinear Phenomena” and serves in the editorial board of “npj Systems Biology and Applications”. He is the coordinator of the Applied Mathematics panel at the Spanish National Research Agency and has been a member of the Marie Curie evaluation committee and of many international project evaluation boards in oncology and/or applied mathematics in France, UK, Poland, Austria, Romania, Cyprus, Latvia, Spain, etc. His main field of research is the application of mathematical modeling to oncology and more specifically to brain tumors, metastasis, cellular immunotherapies, biomarkers, medical images, lymphomas, leukaemias, prostate cancer, etc. In this field he has led several projects funded by public institutions, private foundations such as the James S. Mc. Donnell Foundation and pharmaceutical companies such as NOVARTIS. More specifically he is interested in the development and validation of mechanistic mathematical models that shed light on oncological processes and may be used as platforms to personalize treatments and develop in-silico trials. Also he is interested in the development of mathematical model-based biomarkers of response to treatments.” |
- A Mathematical Model Describes the Malignant Transformation of Low Grade Gliomas: Prognostic implications
PLOS One 12(8):e0179999 (2017)
M.U. Bogdanska, M. Bodnar, M.J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-González, V.M. Pérez-García - A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications
Mathematical Biosciences 288 (2017) 1-13
M.U. Bogdanska, M. Bodnar, J. Belmonte-Beitia, M. Murek, P. Schucht, J. Beck, V.M. Pérez-García - Assessing response in locally advanced breast cancer treated with neaodjuvant chemotherapy: Predictive and prognostic potential of volume-based metabolic variables with 18F-FDG PET/CT
Cancer Research 77, P4-01-04 (2017)
M.D.M. Munoz-Sanchez, A. Soriano, A.M. Garcia-Vicente, M.J. Molina-Garrido, J. Perez-Beteta, A. Olaverri-Herandez, D. Molina-Garcia, J.A.S. Crespo, V.M. Perez-Garcia, E. Val-Pérez, F. Martín-Ordóñez, J.I. Chacón-Muñiz, R. Álvarez-Cabellos, R. Espinosa-Aunión, C. Ortega-Ruipérez, M.J. Cantero, A. Castro, E. Vaquero, E. Catalá, F. Torrecillas and A. Soriano-Castrejón - Combined in-silico and on-chip validation of pseudopalisade formation hypothesis in Glioblastoma
Neuro-Oncology 19(3):iii62-iii62 (2017)
A. Martínez-González, J.M. Ayuso, R. Monge, M. Virumbrales-Muñoz, G.A. Llamazares, A. Hernández-Laín, P. Sánchez-Gómez, V.M. Pérez-García, L.J. Fernández, I. Ochoa - Glioblastoma on a microfluidic chip: Generating pseudopalisades and enhancing cancer cell’s aggressiveness through blood vessel obstruction events
Neuro-Oncology 19(4), 503-513 (2017).
J.M. Ayuso, R. Monge, A. Martínez-González, G.A. Llamazares, J. Berganzo, A. Hernández-Laín, J. Santolaria, M. Doblaré, C. Hubert, J. Rich, P. Sánchez-Gómez, V.M. Pérez-García, I. Ochoa, L.J. Fernández - Glioblastoma: Does the pre-treatment geometry matter? A postcontrast T1 MRI-based study
European Radiology 27(3), 1096-1104 (2017)
J. Pérez-Beteta, A. Martínez-González, D. Molina, M. Amo, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, M. Claramonte, J. Barcia, L. Iglesias, J. Avecillas, D.Albillo, M. Navarro, J.M. Villanueva, J.C. Paniagua, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, M.C. Delgado, A. Del Valle, A. Falkov, P. Schucht, E. Arana, L. Pérez-Romasanta, V. M.Pérez-García - Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
PLoS One 12(6):e0178843 (2017)
D. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V.M. Pérez-García - Malignant transformation of low-grade gliomas. Prognostic implications from mathematical model
Neuro-Oncology 19(3), iii85-iii85 (2017)
M.U. Bogdanska, M. Bodnar, M.J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-Gonzalez, V.M. Perez-Garcia - Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer: Relation with tumor biology.
Molecular Imaging and Biology 19(4), 636-644 (2017)
A.M. García-Vicente, J. Pérez-Beteta, A. Martínez-González, V.M. Pérez-García, D. Molina, G.A. Jiménez Londoño, A. Soriano-Castrejón - Non-Standard Radiotherapy Fractionations Delay the Time to Malignant Transformation in Low-Grade Gliomas
PLoS One 12(6):e0178552 (2017)
A. Henares-Molina, S. Benzekry, P.C. Lara, M. García-Rojo, V.M Pérez-García, A. Martínez-González - Novel geometrical imaging biomarkers predict survival and allow for patient selection for surgery in glioblastoma patients
Neuro-Oncology 19(3):iii80-iii80 (2017)
J. Pérez-Beteta, D. Molina, A. Martínez-González, E. Arregui, B. Asenjo, L. Iglesias, J. Martino, L. Pérez-Romasanta, E. Arana, V.M. Pérez-García - Optimized radiotherapy protocols delay the malignant transformation of low-grade gliomas in-silico
Neuro Oncol (2017) 19 (3): iii12.
A. Henares-Molina, S. Benzecry, P. Lara, M. García-Rojo, V.M. Pérez-García, A. Martínez-González - Recommendations for computation of textural measures obtained from 3D brain tumor MRIs: A robustness analysis points out the need for standardization
Neuro-Oncology 19 (3): iii44 (2017)
D. Molina, J. Pérez-Beteta, A. Martínez-González, C. Velásquez, J. Martino, B. Luque, A. Revert, I. Herruzo, E. Arana, V.M. Pérez-García - Towards individualized survival prediction in glioblastoma patients using machine learning methods
Neuro-Oncology 19(3):iii84-iii84 (2017)
L. Vera, J. Pérez-Beteta, D. Molina, J.M. Borrás, M. Benavides, J.A. Barcia, C. Velásquez, D. Albillo, P. Lara, V.M. Pérez-García
- 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) - Optimization of tisagenlecleucel treatments of lymphoma: An integrated human data-based approach using mathematical models
NOVARTIS (2023 - 2025) - 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)