19624813

Source:http://linkedlifedata.com/resource/pubmed/id/19624813

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0005773, umls-concept:C0026769, umls-concept:C0035020, umls-concept:C0040649, umls-concept:C0205178, umls-concept:C0441889, umls-concept:C0681842
pubmed:dateCreated	2009-8-12
pubmed:abstractText	The ability to predict the spatial frequency of relapses in multiple sclerosis (MS) would enable physicians to decide when to intervene more aggressively and to plan clinical trials more accurately.
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pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101319628
pubmed:status	PubMed-not-MEDLINE
pubmed:issn	1755-8794
pubmed:author	pubmed-author:AchironAnatA, pubmed-author:GurevichMichaelM, pubmed-author:Or-BachRotemR, pubmed-author:RubinsteinUdiU, pubmed-author:TullerTamirT
pubmed:issnType	Electronic
pubmed:volume	2
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	46
pubmed:year	2009
pubmed:articleTitle	Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.
pubmed:affiliation	Multiple Sclerosis Center, Sheba Medical Center, Tel-Hashomer, Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel. Michael.Gurevich@sheba.health.gov.il
pubmed:publicationType	Journal Article