2018 update to the HIV-TRePS system: the development of new computational models to predict HIV treatment outcomes, with or without a genotype, with enhanced usability for low-income settings | Zendy

Andrew Revell | Zendy; Dechao Wang | Zendy; María Jesús PérezElías | Zendy; Robin Wood | Zendy; Dolphina Cogill | Zendy; Hugo Tempelman | Zendy; Raph L Hamers | Zendy; Peter Reiss | Zendy; Ard I. van Sighem | Zendy; Catherine Rehm | Zendy; Anton Pozniak | Zendy; Julio Montaner | Zendy; H. Clifford Lane | Zendy; Brendan Larder | Zendy; Ard van Sighem | Zendy; Richard Harrigan | Zendy; Tobias Rinke de Wit | Zendy; Kim Sigaloff | Zendy; Brian K. Agan | Zendy; Vincent C. Marconi | Zendy; Scott A. Wegner | Zendy; Wataru Sugiura | Zendy; Maurizio Zazzi | Zendy; Rolf Kaiser | Zendy; Eugen Schuelter | Zendy; Adrian StreinuCercel | Zendy; Gerardo AlvarezUria | Zendy; Túlio de Oliveira | Zendy; José M. Gatell | Zendy; Elisa de Lazzari | Zendy; Brian Gazzard | Zendy; Mark Nelson | Zendy; Sundhiya Mandalia | Zendy; Colette Smith | Zendy; Lı́dia Ruiz | Zendy; Bonaventura Clotet | Zendy; Schlomo Staszewski | Zendy; Carlo Torti | Zendy; Cliff Lane | Zendy; Julie A. Metcalf | Zendy; Stefano Vella | Zendy; Gabrielle Dettorre | Zendy; Andrew Carr | Zendy; R. P. Norris | Zendy; Karl Hesse | Zendy; Emanuel Vlahakis | Zendy; Roos E. Barth | Zendy; Carl Morrow | Zendy; Christopher J. Hoffmann | Zendy; Luminiţa Ene | Zendy; Gordana Dragović | Zendy; Ricardo S. Diaz | Zendy; Cecília Sucupira | Zendy; Omar Sued | Zendy; Carina César | Zendy; Juan Sierra Madero | Zendy; Pachamuthu Balavskrishnan | Zendy; Shanmugam Saravanan | Zendy; Sean Emery | Zendy; D. James Cooper | Zendy; John D. Baxter | Zendy; Laura Monno | Zendy; B. Clotet | Zendy; Gastón Picchio | Zendy; Marie-Pierre deBethune | Zendy; Paul Khabo | Zendy; Lotty Ledwaba | Zendy

Open Access

2018 update to the HIV-TRePS system: the development of new computational models to predict HIV treatment outcomes, with or without a genotype, with enhanced usability for low-income settings

Author(s) -

Andrew Revell,

Dechao Wang,

María Jesús PérezElías,

Robin Wood,

Dolphina Cogill,

Hugo Tempelman,

Raph L Hamers,

Peter Reiss,

Ard I. van Sighem,

Catherine Rehm,

Anton Pozniak,

Julio Montaner,

H. Clifford Lane,

Brendan Larder,

Ard van Sighem,

Richard Harrigan,

Tobias Rinke de Wit,

Kim Sigaloff,

Brian K. Agan,

Vincent C. Marconi,

Scott A. Wegner,

Wataru Sugiura,

Maurizio Zazzi,

Rolf Kaiser,

Eugen Schuelter,

Adrian StreinuCercel,

Gerardo AlvarezUria,

Túlio de Oliveira,

José M. Gatell,

Elisa de Lazzari,

Brian Gazzard,

Mark Nelson,

Sundhiya Mandalia,

Colette Smith,

Lı́dia Ruiz,

Bonaventura Clotet,

Schlomo Staszewski,

Carlo Torti,

Cliff Lane,

Julie A. Metcalf,

Stefano Vella,

Gabrielle Dettorre,

Andrew Carr,

R. P. Norris,

Karl Hesse,

Emanuel Vlahakis,

Roos E. Barth,

Carl Morrow,

Christopher J. Hoffmann,

Luminiţa Ene,

Gordana Dragović,

Ricardo S. Diaz,

Cecília Sucupira,

Omar Sued,

Carina César,

Juan Sierra Madero,

Pachamuthu Balavskrishnan,

Shanmugam Saravanan,

Sean Emery,

D. James Cooper,

John D. Baxter,

Laura Monno,

B. Clotet,

Gastón Picchio,

Marie-Pierre deBethune,

Paul Khabo,

Lotty Ledwaba

Publication year - 2018

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dky179

Subject(s) - maraviroc , genotype , receiver operating characteristic , genotyping , statistics , oncology , medicine , human immunodeficiency virus (hiv) , computer science , biology , virology , mathematics , genetics , gene

Optimizing antiretroviral drug combination on an individual basis can be challenging, particularly in settings with limited access to drugs and genotypic resistance testing. Here we describe our latest computational models to predict treatment responses, with or without a genotype, and compare their predictive accuracy with that of genotyping.

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