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| Título: | ACGT: advancing clinico-genomic trials on cancer - four years of experience. |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | MIE 2011, XXIII International Conference of the European Federation for Medical Informatics |
| Fechas del Evento: | 28/08/2011 - 31/08/2011 |
| Lugar del Evento: | Oslo, Noruega |
| Título del Libro: | Proceedings of MIE 2011, XXIII International Conference of the European Federation for Medical Informatics |
| Fecha: | 2011 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The challenges regarding seamless integration of distributed, heterogeneous and multilevel data arising in the context of contemporary, post-genomic clinical trials cannot be effectively addressed with current methodologies. An urgent need exists to access data in a uniform manner, to share information among different clinical and research centers, and to store data in secure repositories assuring the privacy of patients. Advancing Clinico-Genomic Trials (ACGT) was a European Commission funded Integrated Project that aimed at providing tools and methods to enhance the efficiency of clinical trials in the -omics era. The project, now completed after four years of work, involved the development of both a set of methodological approaches as well as tools and services and its testing in the context of real-world clinico-genomic scenarios. This paper describes the main experiences using the ACGT platform and its tools within one such scenario and highlights the very promising results obtained.
| ID de Registro: | 11981 |
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| Identificador DC: | https://oa.upm.es/11981/ |
| Identificador OAI: | oai:oa.upm.es:11981 |
| URL Oficial: | http://www.mie2011.org/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 19 Sep 2012 07:54 |
| Ultima Modificación: | 21 Abr 2016 11:10 |
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