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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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18F-Fluorocholine PET/CT in the prediction of molecular subtypes and prognosis for gliomas.
Clinical Nuclear Medicine 44(10) e548-e558 (2019).
A.M. Garcia Vicente, J. Perez-Beteta, M. Amo-Salas, F.J. Pena Pardo, M. Villena, H. Sandoval, M. Mollejo, R. Barbella, C.J. Klein, J.M. Borras, A.M. Soriano, V.M. Pérez-García -
Applied Mathematics in Oncology. How can we help cancer patients?
ICIAM Valencia Intelligencer (2019) 72-82
V.M. Pérez-García, S. Fitzpatrick, M. Pesic, P. Schucht, J.M. Sepúlveda, F.M. Vallette -
Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas.
PLOS Computational Biology 15(7) (2019) e1006778
V.M. Pérez-García, L.E. Ayala-Hernández, J. Belmonte-Beitia, P. Schucht, M. Murek, A. Raabe -
Global heterogeneity assessed with 18F-FDG PET/CT. Relation with biological variables and prognosis in locally advanced breast cancer.
Rev Esp Med Nucl Im Mol 38(5) 290-297 (2019)
M.J. Tello-Galán, A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, G.A. Jiménez Londoño, F.J. Pena Pardo, A. Soriano, V.M. Pérez García -
Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome
Journal of the Royal Society Interface 20190195 (2019)
G. Lorenzo, V.M. Pérez-García, Alfonso Mariño, L.A. Pérez Romasanta, Alessandro Reali, H. Gómez -
Modulation of antioxidant potential with coenzyme Q10 suppressed invasion of temozolomide resistant rat glioma in vitro and in vivo
Oxidative Medicine and Cellular Longevity 2019, 3061607 (2019)
S. Stojkovic, A. Podolski-Renic, J. Dinic, T. Stankovic, M. Jovanovic, S. Hadžic, J.M. Ayuso, M. Virumbrales-Muñoz, L.J. Fernández, I. Ochoa, V.M. Perez-Garcia, M. Pešic -
Morphologic features on MR imaging classify multifocal glioblastomas in different prognostic groups
American Journal of Neuro-radiology 40 (4) 634-640 (2019).
J. Pérez-Beteta, D. Molina, M. Villena, M. Rodríguez, C. Velásquez, J. Martino, B. Meléndez, A.R. de Lope, R. Morcillo, J. Sepúlveda, A. Hernández, A. Ramos, J. Barcia, P. Lara, D. Albillo, A. Revert, E. Arana, V.M. Pérez-Garcia -
Morphological MRI-based features provide pretreatment and post-surgery survival prediction in glioblastoma
European Radiology 29(4) 1968-1977 (2019)
J. Pérez-Beteta, D. Molina-García, A. Martínez-González, M. Amo, A. Henares-Molina, B. Luque, E. Arregui, M. Calvo, J.M.Borrás, J. Martino, C. Velasquez, B. Meléndez, A.R. de Lope, R. Moreno, J.A. Barcia, B. Asenjo, M. Benavides, I. Herruzo, P.C. Lara, R. Cabrera, D. Albillo, M. Navarro, L.A. Pérez-Romasanta, A. Revert, E. Arana, V.M. Pérez-García -
Prognostic models based on imaging findings in glioblastoma: Human versus Machine
Scientific Reports 9:5982 (2019)
D. Molina-García, L. Vera, J. Pérez-Beteta, E. Arana, 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.” |
- 18F-Fluorocholine PET/CT in the prediction of molecular subtypes and prognosis for gliomas.
Clinical Nuclear Medicine 44(10) e548-e558 (2019).
A.M. Garcia Vicente, J. Perez-Beteta, M. Amo-Salas, F.J. Pena Pardo, M. Villena, H. Sandoval, M. Mollejo, R. Barbella, C.J. Klein, J.M. Borras, A.M. Soriano, V.M. Pérez-García - Applied Mathematics in Oncology. How can we help cancer patients?
ICIAM Valencia Intelligencer (2019) 72-82
V.M. Pérez-García, S. Fitzpatrick, M. Pesic, P. Schucht, J.M. Sepúlveda, F.M. Vallette - Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas.
PLOS Computational Biology 15(7) (2019) e1006778
V.M. Pérez-García, L.E. Ayala-Hernández, J. Belmonte-Beitia, P. Schucht, M. Murek, A. Raabe - Global heterogeneity assessed with 18F-FDG PET/CT. Relation with biological variables and prognosis in locally advanced breast cancer.
Rev Esp Med Nucl Im Mol 38(5) 290-297 (2019)
M.J. Tello-Galán, A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, G.A. Jiménez Londoño, F.J. Pena Pardo, A. Soriano, V.M. Pérez García - Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome
Journal of the Royal Society Interface 20190195 (2019)
G. Lorenzo, V.M. Pérez-García, Alfonso Mariño, L.A. Pérez Romasanta, Alessandro Reali, H. Gómez - Modulation of antioxidant potential with coenzyme Q10 suppressed invasion of temozolomide resistant rat glioma in vitro and in vivo
Oxidative Medicine and Cellular Longevity 2019, 3061607 (2019)
S. Stojkovic, A. Podolski-Renic, J. Dinic, T. Stankovic, M. Jovanovic, S. Hadžic, J.M. Ayuso, M. Virumbrales-Muñoz, L.J. Fernández, I. Ochoa, V.M. Perez-Garcia, M. Pešic - Morphologic features on MR imaging classify multifocal glioblastomas in different prognostic groups
American Journal of Neuro-radiology 40 (4) 634-640 (2019).
J. Pérez-Beteta, D. Molina, M. Villena, M. Rodríguez, C. Velásquez, J. Martino, B. Meléndez, A.R. de Lope, R. Morcillo, J. Sepúlveda, A. Hernández, A. Ramos, J. Barcia, P. Lara, D. Albillo, A. Revert, E. Arana, V.M. Pérez-Garcia - Morphological MRI-based features provide pretreatment and post-surgery survival prediction in glioblastoma
European Radiology 29(4) 1968-1977 (2019)
J. Pérez-Beteta, D. Molina-García, A. Martínez-González, M. Amo, A. Henares-Molina, B. Luque, E. Arregui, M. Calvo, J.M.Borrás, J. Martino, C. Velasquez, B. Meléndez, A.R. de Lope, R. Moreno, J.A. Barcia, B. Asenjo, M. Benavides, I. Herruzo, P.C. Lara, R. Cabrera, D. Albillo, M. Navarro, L.A. Pérez-Romasanta, A. Revert, E. Arana, V.M. Pérez-García - Prognostic models based on imaging findings in glioblastoma: Human versus Machine
Scientific Reports 9:5982 (2019)
D. Molina-García, L. Vera, J. Pérez-Beteta, E. Arana, 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)