Aortic disease: An aneurysm model to help predict the unpredictable

Producción científica: Artículo en revista indizada › Editorial

Idioma original	Inglés
Número de artículo	209ec176
Publicación	Science Translational Medicine
Volumen	5
N.º	209
DOI	https://doi.org/10.1126/scitranslmed.3007771
Estado	Publicada - 30 oct 2013

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@article{919157c95e064be8a56ba0434dec7e71,

title = "Aortic disease: An aneurysm model to help predict the unpredictable",

author = "Mercedes Balcells",

year = "2013",

month = oct,

day = "30",

doi = "10.1126/scitranslmed.3007771",

language = "English",

volume = "5",

journal = "Science Translational Medicine",

issn = "1946-6234",

publisher = "American Association for the Advancement of Science",

number = "209",

}

TY - JOUR

T1 - Aortic disease

T2 - An aneurysm model to help predict the unpredictable

AU - Balcells, Mercedes

PY - 2013/10/30

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U2 - 10.1126/scitranslmed.3007771

DO - 10.1126/scitranslmed.3007771

M3 - Editorial

AN - SCOPUS:84890085324

SN - 1946-6234

VL - 5

JO - Science Translational Medicine

JF - Science Translational Medicine

IS - 209

M1 - 209ec176

ER -