Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Oncología matemática"'
Autor:
Ángel Acosta Rojas, Esther Hernández-San Miguel, María Pérez-Cano, Gabriel F. Calvo, Lucía Zhu, Ana María García Vicente, Juan Belmonte-Beitia, Juan J. Jiménez, David Albillo, Philippe Schucht, Víctor M. Pérez-García, Pedro García-Gómez, Antonio Francisco Honguero Martínez, François M. Vallette, Manuel Valiente, Jesús J. Bosque, Álvaro Martínez, Julián Pérez-Beteta, David Molina-García, Youness Azimzade, Odelaisy León-Triana, Michael Murek, Pilar Sánchez-Gómez, Ana Ortiz de Mendivil, Rafael Hortigüela, Germán Andrés Jiménez Londoño, Estanislao Arana
Publikováno v:
Nature Physics
Nature Physics, Nature Publishing Group, 2020, Online ahead of print. ⟨10.1038/s41567-020-0978-6⟩
Nat Phys
RUIdeRA. Repositorio Institucional de la UCLM
instname
Repisalud
Instituto de Salud Carlos III (ISCIII)
Nature Physics, 2020, Online ahead of print. ⟨10.1038/s41567-020-0978-6⟩
Nature Physics, Nature Publishing Group, 2020, Online ahead of print. ⟨10.1038/s41567-020-0978-6⟩
Nat Phys
RUIdeRA. Repositorio Institucional de la UCLM
instname
Repisalud
Instituto de Salud Carlos III (ISCIII)
Nature Physics, 2020, Online ahead of print. ⟨10.1038/s41567-020-0978-6⟩
Most physical and other natural systems are complex entities composed of a large number of interacting individual elements. It is a surprising fact that they often obey the so-called scaling laws relating an observable quantity with a measure of the
Autor:
Juan Jiménez-Sánchez, Anton Popov, Víctor M. Pérez-García, Álvaro Martínez-Rubio, Juan Belmonte-Beitia, Gabriel F. Calvo, Julián Pérez-Beteta, Youness Azimzade, David Molina-García
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 2, p e1008266 (2021)
PLoS Comput Biol 17(2): e1008266
RODIN: Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Universidad de Cádiz
RUIdeRA. Repositorio Institucional de la UCLM
instname
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
PLoS Computational Biology, Vol 17, Iss 2, p e1008266 (2021)
PLoS Comput Biol 17(2): e1008266
RODIN: Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Universidad de Cádiz
RUIdeRA. Repositorio Institucional de la UCLM
instname
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Increasingly complex in silico modeling approaches offer a way to simultaneously access cancerous processes at different spatio-temporal scales. High-level models, such as those based on partial differential equations, are computationally affordable
Autor:
Rabé, Marion, Dumont, Solenne, Álvarez-Arenas Alcamí, Arturo, Janati, Hicham, Belmonte Beitia, Juan, Fernández Calvo, Gabriel, Thibault-Carpentier, Christelle, Séry, Quentin, Chauvin, Cynthia, Joalland, Noémie, Briand, Floriane, Blandin, Stéphanie, Scotet, Emmanuel, Pecqueur, Claire, Clairambault, Jean, Oliver, Lisa, Pérez García, Victor M., Arulraj, Nadaradjane, Cartron, Pierre-François, Gratas, Catherine, Vallette, François
Publikováno v:
Cell Death and Disease
Cell Death and Disease, Nature Publishing Group, 2020, 11 (1), ⟨10.1038/s41419-019-2200-2⟩
Cell Death & Disease
Cell Death and Disease, 2020, 11 (1), ⟨10.1038/s41419-019-2200-2⟩
Cell Death and Disease, Vol 11, Iss 1, Pp 1-14 (2020)
RUIdeRA. Repositorio Institucional de la UCLM
instname
Cell Death and Disease, Nature Publishing Group, 2020, 11 (1), ⟨10.1038/s41419-019-2200-2⟩
Cell Death & Disease
Cell Death and Disease, 2020, 11 (1), ⟨10.1038/s41419-019-2200-2⟩
Cell Death and Disease, Vol 11, Iss 1, Pp 1-14 (2020)
RUIdeRA. Repositorio Institucional de la UCLM
instname
Drug resistance limits the therapeutic efficacy in cancers and leads to tumor recurrence through ill-defined mechanisms. Glioblastoma (GBM) are the deadliest brain tumors in adults. GBM, at diagnosis or after treatment, are resistant to temozolomide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::66d943ba7537fbcae622ca86caa9fb2c
https://hal.archives-ouvertes.fr/hal-02429194
https://hal.archives-ouvertes.fr/hal-02429194
Autor:
Arturo Álvarez-Arenas, Juan Belmonte-Beitia, Ana Podolski-Renić, Milica Pešić, Gabriel F. Calvo
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
Scientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
Scientific Reports
instname
Scientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
Scientific Reports
Development of drug resistance in cancer has major implications for patients’ outcome. It is related to processes involved in the decrease of drug efficacy, which are strongly influenced by intratumor heterogeneity and changes in the microenvironme
Autor:
Rojas Rodríguez, Clara, Fernández Calvo, Gabriel, Ramis-Conde, Ignacio, Belmonte Beitia, Juan
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
Tumor-normal cell interplay defines the course of a neoplastic malignancy. The outcome of this dual relation is the ultimate prevailing of one of the cells and the death or retreat of the other. In this paper we study the mathematical principles that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::882bae6fd99dec1f77482c58b43028ec
http://hdl.handle.net/10578/28845
http://hdl.handle.net/10578/28845
Autor:
Rojas Rodríguez, Clara, Fernández Calvo, Gabriel, Ramis-Conde, Ignacio, Belmonte Beitia, Juan
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
Tumor-normal cell interplay defines the course of a neoplastic malignancy. The outcome of this dual relation is the ultimate prevailing of one of the cells and the death or retreat of the other. In this paper we study the mathematical principles that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::5f2c2ba31cfc1cdf3077e1a6b8d2bd68
http://hdl.handle.net/10578/28845
http://hdl.handle.net/10578/28845
Publikováno v:
RUIdeRA. Repositorio Institucional de la UCLM
instname
instname
We present an analysis of a mathematical model describing the key features of the most frequent and aggressive type of primary brain tumor: glioblastoma. The model captures the salient physiopathological characteristics of this type of tumor: invasio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64b8c47e6dd17db8af5a8902d8133d9
http://hdl.handle.net/10578/28844
http://hdl.handle.net/10578/28844