Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time
暂无分享,去创建一个
Peter M. A. Sloot | Matthias Assel | Anne-Mieke Vandamme | Dineke Frentz | Lidia Ruiz | Mattia Prosperi | Massimiliano Fabbiani | Carlo Torti | Maurizio Zazzi | Francesca Incardona | Roger Paredes | Pieter Libin | Pieter J. K. Libin | Andrea De Luca | Kristel Van Laethem | R. Paredes | P. Libin | L. Ruiz | A. Vandamme | P. Sloot | C. Boucher | K. Van Laethem | B. O. Nualláin | M. Prosperi | V. Müller | F. Incardona | M. Zazzi | A. De Luca | M. Assel | D. A. van de Vijver | C. Torti | N. Manca | M. Fabbiani | E. Quiros-Roldan | Viktor Müller | Charles A. B. Boucher | Nino Manca | Breanndán Ó. Nualláin | Eugenia Quiros-Roldan | David A. M. C. van de Vijver | D. Frentz | L. Ruíz
[1] Pierre-Marie Girard,et al. Phenotypic or genotypic resistance testing for choosing antiretroviral therapy after treatment failure: a randomized trial , 2002, AIDS.
[2] P. Narciso,et al. Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency virus type 1 drug resistance. , 2003, The Journal of infectious diseases.
[3] Giovanni Ulivi,et al. Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment , 2008, Antiviral therapy.
[4] T. Perneger,et al. Impact of drug resistance mutations on virologic response to salvage therapy. Swiss HIV Cohort Study. , 1999, AIDS.
[5] F. Baldanti,et al. Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting. , 2009, The Journal of antimicrobial chemotherapy.
[6] Lidia Ruiz,et al. Clinical utility of HIV-1 genotyping and expert advice: the Havana trial , 2002, AIDS.
[7] J. Schapiro,et al. Drug-resistance genotyping in HIV-1 therapy: the VIRAD APT randomi sed controlled trial , 1999, The Lancet.
[8] Soo-Yon Rhee,et al. HIV-1 protease and reverse transcriptase mutations for drug resistance surveillance , 2007, AIDS.
[9] Tommy F. Liu,et al. Web resources for HIV type 1 genotypic-resistance test interpretation. , 2006, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[10] Anne-Mieke Vandamme,et al. Predictive value of HIV-1 genotypic resistance test interpretation algorithms. , 2009, The Journal of infectious diseases.
[11] Brendan Larder,et al. The Development of Artificial Neural Networks to Predict Virological response to Combination HIV Therapy , 2007, Antiviral therapy.
[12] D. Richman,et al. 2022 update of the drug resistance mutations in HIV-1. , 2022, Topics in antiviral medicine.
[13] A. Vandamme,et al. A Genotypic Drug Resistance Interpretation Algorithm that Significantly Predicts Therapy Response in HIV-1-Infected Patients , 2001, Antiviral therapy.
[14] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[15] A. Antinori,et al. Usefulness of monitoring HIV drug resistance and adherence in individuals failing highly active antiretroviral therapy: a randomized study (ARGENTA) , 2002, AIDS.
[16] B. J. Betts,et al. HIV-1 protease and reverse transcriptase mutation patterns responsible for discordances between genotypic drug resistance interpretation algorithms. , 2003, Journal of acquired immune deficiency syndromes.
[17] Victor DeGruttola,et al. Clinically Validated Genotype Analysis: Guiding Principles and Statistical Concerns , 2004, Antiviral therapy.
[18] M A Peter. Title HIV decision support : from molecule to man , 2009 .
[19] Z. Fox,et al. The ability of four genotypic interpretation systems to predict virological response to ritonavir-boosted protease inhibitors , 2007, AIDS.