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rdf:type |
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lifeskim:mentions |
umls-concept:C0205195,
umls-concept:C0205466,
umls-concept:C0242406,
umls-concept:C0681842,
umls-concept:C0871261,
umls-concept:C0920551,
umls-concept:C1527148,
umls-concept:C1704632,
umls-concept:C1706817,
umls-concept:C2004457,
umls-concept:C2911692
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pubmed:issue |
1
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pubmed:dateCreated |
2007-5-16
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pubmed:abstractText |
When used in combination, antiretroviral drugs are highly effective for suppressing HIV replication. Nevertheless, treatment failure commonly occurs and is generally associated with viral drug resistance. The choice of an alternative regimen may be guided by a drug-resistance test. However, interpretation of resistance from genotypic data poses a major challenge.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1359-6535
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pubmed:author |
pubmed-author:De WolfFrankF,
pubmed-author:EmerySeanS,
pubmed-author:GatellJoseJ,
pubmed-author:HarriganRichardR,
pubmed-author:LaneCliffordC,
pubmed-author:LangeJoepJ,
pubmed-author:LarderBrendanB,
pubmed-author:MonforteAntonella D'ArminioAD,
pubmed-author:MontanerJulioJ,
pubmed-author:Pérez-ElíasMaria JésusMJ,
pubmed-author:RevellAndrewA,
pubmed-author:RuizLidiaL,
pubmed-author:TortiCarloC,
pubmed-author:WangDechaoD,
pubmed-author:WegnerScottS,
pubmed-author:ZazziMaurizioM
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pubmed:issnType |
Print
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pubmed:volume |
12
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
15-24
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pubmed:meshHeading |
pubmed-meshheading:17503743-Anti-HIV Agents,
pubmed-meshheading:17503743-Antiretroviral Therapy, Highly Active,
pubmed-meshheading:17503743-Australia,
pubmed-meshheading:17503743-CD4 Lymphocyte Count,
pubmed-meshheading:17503743-Computer Simulation,
pubmed-meshheading:17503743-Drug Resistance, Viral,
pubmed-meshheading:17503743-Europe,
pubmed-meshheading:17503743-Genotype,
pubmed-meshheading:17503743-HIV Infections,
pubmed-meshheading:17503743-Humans,
pubmed-meshheading:17503743-Medical Records,
pubmed-meshheading:17503743-Neural Networks (Computer),
pubmed-meshheading:17503743-Patient Selection,
pubmed-meshheading:17503743-Predictive Value of Tests,
pubmed-meshheading:17503743-Time Factors,
pubmed-meshheading:17503743-Treatment Outcome,
pubmed-meshheading:17503743-United States,
pubmed-meshheading:17503743-Viral Load
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pubmed:year |
2007
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pubmed:articleTitle |
The development of artificial neural networks to predict virological response to combination HIV therapy.
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pubmed:affiliation |
The HIV Resistance Response Database Initiative, London, UK. brendanlarder@hivrdi.org
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Multicenter Study,
Evaluation Studies,
Research Support, N.I.H., Extramural
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