|
|
|
José García Otero (BSc in Mathematics, University of the Basque Country, 2019; MSc in Physics and Mathematics, University of Castilla-La Mancha, 2021; PhD in Physics and Mathematics, University of Castilla-La Mancha, 2025) conducts research in the mathematical modelling of paediatric cancer. His work focuses on Alocelyvir, an oncolytic virus–based therapy delivered through mesenchymal cells to enhance tumour selectivity and therapeutic effectiveness. He collaborates with the Niño Jesús Children’s Hospital in Madrid to optimise this approach, aiming to improve its clinical performance in paediatric patients.
|
Publications
-
Exploring neuroblastoma’s cellular microenvironment: A novel approach using cellular automata to model Celyvir treatment
Computers in Biology and Medicine 188, 109782 (2025)
José García Otero, Juan Belmonte-Beitia, Juan Jiménez-Sánchez -
Mathematical model of tumor macrophage dynamics in glioma to advance myeloid-targeted therapies
Computers in Biology and Medicine, Volume 196, Part C, 2025, 110909
Jesús J. Bosque, Jordan Martínez, José García Otero, Guim Aguadé, Javier Sánchez, Juan Belmonte-Beitia -
Radiopharmaceutical therapy for metastatic prostate cancer: Insights from mechanistic modeling and in silico trials
biorxiv (2025)
Matteo Italia, Silvia Bordel-Vozmediano, José García-Otero, Gabriel F. Calvo, Víctor M. Pérez-García -
On the Dynamics and Optimal Control of a Mathematical Model of Neuroblastoma and its Treatment: Insights from a Mathematical Model
M3AS: Mathematical Models and Methods in Applied Sciences 07(34) (2024)
José García Otero, Mariusz Bodzioch, and Juan Belmonte-Beitia -
Dynamics and analysis of a mathematical model of neuroblastoma treated with Celyvir
Applied Mathematical Modelling 110 (2022) 131-148
J. García Otero, A. Alvarez Arenas, J. Belmonte Beitia
Projects
- Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - 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)
García Otero, José
|
José García Otero (BSc in Mathematics, University of the Basque Country, 2019; MSc in Physics and Mathematics, University of Castilla-La Mancha, 2021; PhD in Physics and Mathematics, University of Castilla-La Mancha, 2025) conducts research in the mathematical modelling of paediatric cancer. His work focuses on Alocelyvir, an oncolytic virus–based therapy delivered through mesenchymal cells to enhance tumour selectivity and therapeutic effectiveness. He collaborates with the Niño Jesús Children’s Hospital in Madrid to optimise this approach, aiming to improve its clinical performance in paediatric patients.
|
Publications
- Exploring neuroblastoma’s cellular microenvironment: A novel approach using cellular automata to model Celyvir treatment
Computers in Biology and Medicine 188, 109782 (2025)
José García Otero, Juan Belmonte-Beitia, Juan Jiménez-Sánchez - Mathematical model of tumor macrophage dynamics in glioma to advance myeloid-targeted therapies
Computers in Biology and Medicine, Volume 196, Part C, 2025, 110909
Jesús J. Bosque, Jordan Martínez, José García Otero, Guim Aguadé, Javier Sánchez, Juan Belmonte-Beitia - Radiopharmaceutical therapy for metastatic prostate cancer: Insights from mechanistic modeling and in silico trials
biorxiv (2025)
Matteo Italia, Silvia Bordel-Vozmediano, José García-Otero, Gabriel F. Calvo, Víctor M. Pérez-García - On the Dynamics and Optimal Control of a Mathematical Model of Neuroblastoma and its Treatment: Insights from a Mathematical Model
M3AS: Mathematical Models and Methods in Applied Sciences 07(34) (2024)
José García Otero, Mariusz Bodzioch, and Juan Belmonte-Beitia - Dynamics and analysis of a mathematical model of neuroblastoma treated with Celyvir
Applied Mathematical Modelling 110 (2022) 131-148
J. García Otero, A. Alvarez Arenas, J. Belmonte Beitia
Projects
- Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - 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)
