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BSc in Biotechnology (UPM), MSc in Biophysics (UAM), and MSc in Applied Mathematics (UCLM). He is a post-doc at MOLAB working on evolutionary dynamics and virtual clinical trials in cancer. The discrete stochastic tumor growth model developed in his Ph.D. thesis (2022) have been used for human data-based studies on evolutionary dynamics, to discover new biomarkers in different cancers, and to optimize glioblastoma treatments. |
Publications
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A glance at evolvability: a theoretical analysis of its role in the evolutionary dynamics of cell populations
arXiv:2402.06392
J. Jiménez-Sánchez, C. Ortega-Sabater, P. K. Maini, V.M. Pérez-García, T. Lorenzi -
Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia -
Growth exponents reflect evolutionary processes and treatment response in brain metastases
npj Systems Biology and Applications 9, 35 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, J. Jiménez-Sánchez, O. Leon-Triana, A. Ortiz de Mendivil, B. Asenjo, D. Albillo, L. Pérez-Romasanta, M. Valiente, L. Zhu, P. García- Gómez, E. González-Del Portillo, M. Llorente, N. Carballo, E. Arana, V. M. Pérez-García -
On optimal temozolomide scheduling for slowly growing glioblastomas
Neuro-Oncology Advances 4(1), vdac155, 1-13 (2022)
B. Segura-Collar, J. Jiménez-Sánchez, R. Gargini, M. Dragoj, J. M. Sepúlveda, M. Pesic, M. A. Ramírez, L. E. Ayala-Hernández, P.Sánchez-Gómez, V. M Pérez-García -
Evolutionary dynamics at the tumor edge reveals metabolic imaging biomarkers
Proceedings of the National Academy of Sciences (USA) 118(6) e2018110118 (2021).
J. Jiménez-Sánchez, J.J. Bosque, G.A. Jiménez-Londoño, D. Molina-García, A. Martínez-Rubio, J. Pérez-Beteta, C. Ortega-Sabater, A.F Honguero-Martínez, A.M. García-Vicente, G.F. Calvo, V.M. Pérez-García -
A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
PLoS Computational Biology 17(2) e1008266 (2021).
J. Jiménez-Sánchez, A. Martínez-Rubio, A. Popov, J. Pérez-Beteta, Y. Azimzade, D. Molina-García, J. Belmonte-Beitia, G.F. Calvo, V.M. Pérez-García -
Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente -
Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente
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) - 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) - 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)
Jiménez Sánchez, Juan
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BSc in Biotechnology (UPM), MSc in Biophysics (UAM), and MSc in Applied Mathematics (UCLM). He is a post-doc at MOLAB working on evolutionary dynamics and virtual clinical trials in cancer. The discrete stochastic tumor growth model developed in his Ph.D. thesis (2022) have been used for human data-based studies on evolutionary dynamics, to discover new biomarkers in different cancers, and to optimize glioblastoma treatments. |
Publications
- A glance at evolvability: a theoretical analysis of its role in the evolutionary dynamics of cell populations
arXiv:2402.06392
J. Jiménez-Sánchez, C. Ortega-Sabater, P. K. Maini, V.M. Pérez-García, T. Lorenzi - Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia - Growth exponents reflect evolutionary processes and treatment response in brain metastases
npj Systems Biology and Applications 9, 35 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, J. Jiménez-Sánchez, O. Leon-Triana, A. Ortiz de Mendivil, B. Asenjo, D. Albillo, L. Pérez-Romasanta, M. Valiente, L. Zhu, P. García- Gómez, E. González-Del Portillo, M. Llorente, N. Carballo, E. Arana, V. M. Pérez-García - On optimal temozolomide scheduling for slowly growing glioblastomas
Neuro-Oncology Advances 4(1), vdac155, 1-13 (2022)
B. Segura-Collar, J. Jiménez-Sánchez, R. Gargini, M. Dragoj, J. M. Sepúlveda, M. Pesic, M. A. Ramírez, L. E. Ayala-Hernández, P.Sánchez-Gómez, V. M Pérez-García - Evolutionary dynamics at the tumor edge reveals metabolic imaging biomarkers
Proceedings of the National Academy of Sciences (USA) 118(6) e2018110118 (2021).
J. Jiménez-Sánchez, J.J. Bosque, G.A. Jiménez-Londoño, D. Molina-García, A. Martínez-Rubio, J. Pérez-Beteta, C. Ortega-Sabater, A.F Honguero-Martínez, A.M. García-Vicente, G.F. Calvo, V.M. Pérez-García - A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
PLoS Computational Biology 17(2) e1008266 (2021).
J. Jiménez-Sánchez, A. Martínez-Rubio, A. Popov, J. Pérez-Beteta, Y. Azimzade, D. Molina-García, J. Belmonte-Beitia, G.F. Calvo, V.M. Pérez-García - Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente - Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente
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) - 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) - 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)
