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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Castro Ponce, Mario | es-ES |
dc.date.accessioned | 2025-07-02T14:53:26Z | - |
dc.date.available | 2025-07-02T14:53:26Z | - |
dc.date.issued | 2025-12-31 | es_ES |
dc.identifier.issn | 1664-3224 | es_ES |
dc.identifier.uri | https:doi.org10.3389fimmu.2025.1591083 | es_ES |
dc.identifier.uri | http://hdl.handle.net/11531/99850 | - |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | es-ES | |
dc.description.abstract | This article discusses the critical role of T cells in transplant rejection and the challenges in selectively targeting them due to their complex dynamics. It highlights advances in single-cell technologies and T-cell receptor sequencing, which have enhanced our ability to monitor alloimmune responses. The article emphasizes the need for new mechanistic and statistical modeling approaches to better understand T cell behavior and improve therapeutic strategies for transplant recipients. The research presented aims to provide insights into T cell dynamics, improve diagnostic markers, and optimize immunosuppressive therapies. | en-GB |
dc.language.iso | en-GB | es_ES |
dc.source | Revista: Frontiers in Immunology, Periodo: 1, Volumen: online, Número: , Página inicial: 1591083-1, Página final: 1591083-2 | es_ES |
dc.subject.other | Instituto de Investigación Tecnológica (IIT) - Dinámica No Lineal | es_ES |
dc.title | Editorial: Mechanistic and statistical modeling approaches to study alloimmune T-cell responses | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.holder | es_ES | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.keywords | es-ES | |
dc.keywords | T cells, statistical methods, computational modeling, alloimmune, mechanism | en-GB |
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