Optimizing background therapy in treatment-experienced HIV-1 patients by rules-based algorithms and bioinformatics

In HIV-1-infected patients with extensive drug resistance, the optimization of background antiretroviral therapy is essential when changing drugs after treatment failure. The genotypic sensitivity score (GSS) and phenotypic sensitivity score (PSS), determined by rules-based algorithms, are employed...

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Vydané v:	Future virology Ročník 7; číslo 8; s. 749 - 757
Hlavní autori:	Svard, J, Sonnerborg, A
Médium:	Journal Article Book Review
Jazyk:	English
Vydavateľské údaje:	London Future Medicine Ltd 01.08.2012
Predmet:	Algorithms Antiretroviral drugs antiretroviral treatment Antiviral agents Bioinformatics Care and treatment Clinical trials Computational biology Drug resistance Drug therapy EuResist GSS HIV HIV (Viruses) HIV infection HIV patients Human immunodeficiency virus Medical research Medicine, Experimental optimized background therapy Pharmaceutical industry predictive engine PSS
ISSN:	1746-0794, 1746-0808
On-line prístup:	Získať plný text
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