Víctor M. Pérez-García

Catedrático de Universidad /Full professor

University of Castilla-La Mancha

Spain

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About

Víctor M. Pérez-García is a Full Professor at Universidad de Castilla-La Mancha, Spain. His research focuses on mathematical modeling in various biomedical contexts, including CAR T-cell therapy, lung cancer screening, and the progression of fibrous dysplasia. He has published extensively on the implications of computational models in predicting treatment outcomes and understanding disease dynamics.

Articles (20)

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2025

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2022

Collaborators (12)

José de la Fuente

Research Professor.

SPAIN

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University Hospital HM Puerta del Sur

SPAIN

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juan ramon Peinado-Mena

Full time Professor

facultad de medicina de ciudad real. Universidad de Castilla La Mancha

SPAIN

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Víctor M. Pérez-García

Research Interests

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About

Articles (20)

Geometric immunosuppression in CAR T-cell treatment: Insights from mathematical modeling

Mathematical Model of CAR T-Cell Therapy for a B-Cell Lymphoma Lymph Node

Clinicopathologic and metabolic variables from <sup>18</sup>F-FDG PET/CT in the prediction of recurrence pattern in stage I-III non-small cell lung cancer after curative surgery.

Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia.

Modeling Fibrous Dysplasia Progression and its Therapeutic Intervention

A Mathematical Model for Fibrous Dysplasia: The Role of the Flow of Mutant Cells

Growth dynamics of lung nodules: implications for classification in lung cancer screening

Morphological MRI features as prognostic indicators in brain metastases

Understanding the role of B cells in CAR T-cell therapy in leukemia through a mathematical model

Mathematical modeling of brain metastases growth and response to therapies: A review.

A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data

CoQ<sub>10</sub> reduces glioblastoma growth and infiltration through proteome remodeling and inhibition of angiogenesis and inflammation

Growth exponents reflect evolutionary processes and treatment response in brain metastases

Metabolic activity grows in human cancers pushed by phenotypic variability

The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia

Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations

Patient-specific forecasting of postradiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse.

Mathematical models of leukaemia and its treatment: a review

Multiple and Diffuse Gliomas by 18F-Fluorocholine PET/CT: Two Sides of the Same Coin.

SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients.

Collaborators (12)

José de la Fuente

Luis Perez-Romasanta

Gabriel Fernández Calvo

Jesús J. Bosque

Margarita M. Villar-Rayo

Sergio Serrano

Estanislao Arana

Soukaina Sabir

Ana Ortiz de Mendivil

Javier Frontiñan

JOSE DAVID ALBILLO LABARRA

juan ramon Peinado-Mena

Make your next move.

Víctor M. Pérez-García

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Geometric immunosuppression in CAR T-cell treatment: Insights from mathematical modeling

Mathematical Model of CAR T-Cell Therapy for a B-Cell Lymphoma Lymph Node

Clinicopathologic and metabolic variables from &lt;sup&gt;18&lt;/sup&gt;F-FDG PET/CT in the prediction of recurrence pattern in stage I-III non-small cell lung cancer after curative surgery.

Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia.

Modeling Fibrous Dysplasia Progression and its Therapeutic Intervention

A Mathematical Model for Fibrous Dysplasia: The Role of the Flow of Mutant Cells

Growth dynamics of lung nodules: implications for classification in lung cancer screening

Morphological MRI features as prognostic indicators in brain metastases

Understanding the role of B cells in CAR T-cell therapy in leukemia through a mathematical model

Mathematical modeling of brain metastases growth and response to therapies: A review.

A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data

CoQ<sub>10</sub> reduces glioblastoma growth and infiltration through proteome remodeling and inhibition of angiogenesis and inflammation

Growth exponents reflect evolutionary processes and treatment response in brain metastases

Metabolic activity grows in human cancers pushed by phenotypic variability

The shape of cancer relapse: Topological data analysis predicts recurrence in paediatric acute lymphoblastic leukaemia

Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations

Patient-specific forecasting of postradiotherapy prostate-specific antigen kinetics enables early prediction of biochemical relapse.

Mathematical models of leukaemia and its treatment: a review

Multiple and Diffuse Gliomas by 18F-Fluorocholine PET/CT: Two Sides of the Same Coin.

SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients.

Collaborators (12)

José de la Fuente

Luis Perez-Romasanta

Gabriel Fernández Calvo

Jesús J. Bosque

Margarita M. Villar-Rayo

Sergio Serrano

Estanislao Arana

Soukaina Sabir

Ana Ortiz de Mendivil

Javier Frontiñan

JOSE DAVID ALBILLO LABARRA

juan ramon Peinado-Mena

Make your next move.

Clinicopathologic and metabolic variables from <sup>18</sup>F-FDG PET/CT in the prediction of recurrence pattern in stage I-III non-small cell lung cancer after curative surgery.