Aortic disease: An aneurysm model to help predict the unpredictable

^*Autor corresponent d’aquest treball

Producció científica: Article en revista indexada › Editorial

Idioma original	Anglès
Número d’article	209ec176
Revista	Science Translational Medicine
Volum	5
Número	209
DOIs	https://doi.org/10.1126/scitranslmed.3007771
Estat de la publicació	Publicada - 30 d’oct. 2013

Accés al document

@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

Y1 - 2013/10/30

UR - https://www.scopus.com/pages/publications/84890085324

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 -