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About:
Animal modeling in bone research—Should we follow the White Rabbit?
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An Entity of Type :
schema:ScholarlyArticle
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covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Animal modeling in bone research—Should we follow the White Rabbit?
Creator
Bregadioli, Thales
Prado, Leonardo
Bianca, |
Cassio, |
Dal-Bó, Santos
Diamante, Antonio
Feitosa, Caroline
Fernando, |
Ferrigno, Ricardo
Gabriel, |
Kitamura Kawamoto, Yoiti
Macedo, Aline
Marinho, Tertuliano
Monteiro, Fiuza
Vinicius, Paulo
Source
Medline; PMC
abstract
Animal models are live subjects applied to translational research. They provide insights into human diseases and enhance biomedical knowledge. Livestock production has favored the pace of human social development over millennia. Today's society is more aware of animal welfare than past generations. The general public has marked objections to animal research and many species are falling into disuse. The search for an ideal methodology to replace animal use is on, but animal modeling still holds great importance to human health. Bone research, in particular, has unmet requirements that in vitro technologies cannot yet fully address. In that sense, standardizing novel models remains necessary and rabbits are gaining in popularity as potential bone models. Our aim here is to provide a broad overview of animal modeling and its ethical implications, followed by a narrower focus on bone research and the role rabbits are playing in the current scenario.
has issue date
2019-09-26
(
xsd:dateTime
)
bibo:doi
10.1002/ame2.12083
bibo:pmid
31773091
has license
cc-by
sha1sum (hex)
ad7576ff127570ebd90067bd6707f02776b687e5
schema:url
https://doi.org/10.1002/ame2.12083
resource representing a document's title
Animal modeling in bone research—Should we follow the White Rabbit?
has PubMed Central identifier
PMC6762042
has PubMed identifier
31773091
schema:publication
Animal Model Exp Med
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covid:ad7576ff127570ebd90067bd6707f02776b687e5#body_text
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schema:about
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covid:arg/ad7576ff127570ebd90067bd6707f02776b687e5
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