Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research
Año:2013
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While in vitro and in vivo assays are expensive, the cost of computing is falling. Furthermore, improvements in the accuracy of computational methods (e.g. data mining, knowledge discovery, modeling and simulation) have enabled effective tools to automate the extraction, management and storage of these vast data volumes. Since this information is widely distributed, one major issue is how to locate and access data where it resides (which also poses data-sharing limitations). The novel discipline of nanoinformatics addresses the information challenges related to nanotechnology research. In this paper, we summarize the needs and challenges in the field and present an overview of extant initiatives and efforts.
Internacional
Si
JCR del ISI
No
Título de la revista
Computational Science & Discovery
ISSN
1749-4680
Factor de impacto JCR
Información de impacto
Volumen
6
DOI
10.1088/1749-4699/6/1/014011
Número de revista
Desde la página
1
Hasta la página
27
Mes
NOVIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Diana De la Iglesia Jimenez (UPM)
  • Autor: Raul Cachau (Advanced Biomedical Computing Center, National Cancer Institute, SAIC-Frederick Inc., Frederick National Laboratory for Cancer Research)
  • Autor: Miguel Garcia Remesal (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
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