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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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Applied mathematics and nonlinear sciences in the war on cancer
Applied Mathematics and Nonlinear Sciences 1(2) (2016) 423-436
V.M. Pérez-García, S. Fitzpatrick, L.A. Pérez-Romasanta, M. Pesic, P. Schucht, E. Arana, P. Sánchez-Gómez -
Dynamics and optimal control of chemotherapy for low grade gliomas: insights from a mathematical model
Discrete and Continuous Dynamical Systems B, 21, 1895-1915 (2016)
C. Rojas-Rodriguez, J. Belmonte-Beitia, V.M. Pérez-García, H. Maurer -
Extreme protraction for low grade gliomas: Theoretical proof of concept of a novel therapeutical strategy
Mathematical Medicine and Biology 33(3) 253-271 (2016).
V.M. Pérez-García, L.A. Pérez-Romasanta -
Geometrical measures obtained from pretreatment postcontrast T1 weighted MRIs predict survival benefits from bevacizumab in glioblastoma patients
PLoS One 11(8) e0161484 (2016).
D. Molina, J. Pérez-Beteta, A. Martínez-González, J.M. Sepúlveda, S. Peralta, M. Gil-Gil, G. Reynes, A. Herrero, R. De Las Peñas, R. Luque, J. Capellades, C. Balaña, V.M. Pérez-Garcia -
Hypoxia in Gliomas: Opening Therapeutical Opportunities Using a Mathematical-Based Approach.
Advances in experimental medicine and biology 936 (2016) 11-29
A. Martínez-González, G.F. Calvo, J.M. Ayuso, I. Ochoa, L.J. Fernández, V.M. Pérez-García -
Influence of grey level and space discretization on brain tumor heterogeneity measures obtained from MRIs
Computers in Biology and Medicine 78, 49-57 (2016)
D. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V.M. Pérez-García -
Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in breast cancer: Relation with tumor biology
European Journal of Nuclear Medicine and Molecular Imaging 43, S74-S75 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G.J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón -
Nonlinear ghost waves accelerate the progression of high-grade brain tumors
Communications in Nonlinear Science and Numerical Simulation 39, 360-380 (2016)
R. Pardo, A. Martínez-González, V.M. Pérez-García -
Predictive and prognostic potential of volume-based metabolic variables with F-18-FDG PET/CT in locally advanced breast cancer
European Journal of Nuclear Medicine and Nuclear Imaging 43, S27-S28 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G. J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón -
Resistance to DNA damaging agents produced invasive phenotype of rat glioma cells-characterization of a new in vivo model
Molecules 21, 843 (2016)
S. Stojkovic, A. Podolski-Renic, J. Dinic, Z. Pavkovic, J.M. Ayuso, L.J. Fernández, I. Ochoa, V.M. Pérez-García, V. Pešic, M. Pesic -
Transfer of drug resistance characteristics between cancer cell subpopulations: A study using simple mathematical models.
Bulletin of Mathematical Biology 78, 1218-1237 (2016)
M. Rosa Durán, A. Podolski-Renic, A. Álvarez-Arenas, J. Dinic, J. Belmonte-Beitia, M. Pesic, V. M. Pérez-García -
Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival.
British Journal on Radiology 89, 2016242 (2016)
D. Molina, J. Pérez-Beteta, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Martínez-González, E. Arana. L. Pérez, 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.” |
- Applied mathematics and nonlinear sciences in the war on cancer
Applied Mathematics and Nonlinear Sciences 1(2) (2016) 423-436
V.M. Pérez-García, S. Fitzpatrick, L.A. Pérez-Romasanta, M. Pesic, P. Schucht, E. Arana, P. Sánchez-Gómez - Dynamics and optimal control of chemotherapy for low grade gliomas: insights from a mathematical model
Discrete and Continuous Dynamical Systems B, 21, 1895-1915 (2016)
C. Rojas-Rodriguez, J. Belmonte-Beitia, V.M. Pérez-García, H. Maurer - Extreme protraction for low grade gliomas: Theoretical proof of concept of a novel therapeutical strategy
Mathematical Medicine and Biology 33(3) 253-271 (2016).
V.M. Pérez-García, L.A. Pérez-Romasanta - Geometrical measures obtained from pretreatment postcontrast T1 weighted MRIs predict survival benefits from bevacizumab in glioblastoma patients
PLoS One 11(8) e0161484 (2016).
D. Molina, J. Pérez-Beteta, A. Martínez-González, J.M. Sepúlveda, S. Peralta, M. Gil-Gil, G. Reynes, A. Herrero, R. De Las Peñas, R. Luque, J. Capellades, C. Balaña, V.M. Pérez-Garcia - Hypoxia in Gliomas: Opening Therapeutical Opportunities Using a Mathematical-Based Approach.
Advances in experimental medicine and biology 936 (2016) 11-29
A. Martínez-González, G.F. Calvo, J.M. Ayuso, I. Ochoa, L.J. Fernández, V.M. Pérez-García - Influence of grey level and space discretization on brain tumor heterogeneity measures obtained from MRIs
Computers in Biology and Medicine 78, 49-57 (2016)
D. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V.M. Pérez-García - Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in breast cancer: Relation with tumor biology
European Journal of Nuclear Medicine and Molecular Imaging 43, S74-S75 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G.J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón - Nonlinear ghost waves accelerate the progression of high-grade brain tumors
Communications in Nonlinear Science and Numerical Simulation 39, 360-380 (2016)
R. Pardo, A. Martínez-González, V.M. Pérez-García - Predictive and prognostic potential of volume-based metabolic variables with F-18-FDG PET/CT in locally advanced breast cancer
European Journal of Nuclear Medicine and Nuclear Imaging 43, S27-S28 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G. J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón - Resistance to DNA damaging agents produced invasive phenotype of rat glioma cells-characterization of a new in vivo model
Molecules 21, 843 (2016)
S. Stojkovic, A. Podolski-Renic, J. Dinic, Z. Pavkovic, J.M. Ayuso, L.J. Fernández, I. Ochoa, V.M. Pérez-García, V. Pešic, M. Pesic - Transfer of drug resistance characteristics between cancer cell subpopulations: A study using simple mathematical models.
Bulletin of Mathematical Biology 78, 1218-1237 (2016)
M. Rosa Durán, A. Podolski-Renic, A. Álvarez-Arenas, J. Dinic, J. Belmonte-Beitia, M. Pesic, V. M. Pérez-García - Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival.
British Journal on Radiology 89, 2016242 (2016)
D. Molina, J. Pérez-Beteta, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Martínez-González, E. Arana. L. Pérez, 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)