- 2021
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Revell, Andrew D; Wang, Dechao; Perez-Elias, Maria-Jesus; Wood, Robin; Cogill, Dolphina; Tempelman, Hugo; Hamers, Raph L; Reiss, Peter; van Sighem, Ard I; Rehm, Catherine A; Agan, Brian; Alvarez-Uria, Gerardo; Montaner, Julio Sg; Lane, H Clifford; Larder, Brendan A. 2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settings. JAC Journal of Antimicrobial Chemotherapy; doi: 10.1093/jac/dkab078
- 2019
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Revell, Andrew D; Wang, Dechao; Perez-Elias, Maria-Jesus; Wood, Robin; Tempelman, Hugo; Clotet, Bonaventura; Reiss, Peter; van Sighem, Ard I; Alvarez-Uria, Gerardo; Nelson, Mark; Montaner, Julio Sg; Lane, H Clifford; Larder, Brendan A. Predicting virological response to HIV treatment over time: a tool for settings with different definitions of virological response.. JAIDS Journal of Acquired Immune Deficiency Syndromes; doi: 10.1097/QAI.0000000000001989
- 2018
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Andrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, Robin Wood, Dolphina Cogill, Hugo Tempelman, Raph L Hamers, Peter Reiss, Ard I van Sighem, Catherine A Rehm, Anton Pozniak, Julio S G Montaner, H Clifford Lane, Brendan A Larder, RDI Data and Study Group. 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. Journal of Antimicrobial Chemotherapy; dky179. doi: 10.1093
- 2016
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Revell AD, Khabo P, Ledwaba L, Emery S, Wang D, Wood R, Morrow C, Tempelman H, Hamers R, Reiss P, van Sighem AI, Pozniak A, Montaner J, Lane C, Larder B. Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa. Southern African Journal of HIV Medicine; Vol 17, No 1 (2016), 7 pages. doi: 10.4102/hivmed.v17i1.450
Andrew D. Revell, Dechao Wang, Robin Wood, Carl Morrow, Hugo Tempelman, Raph L. Hamers, Peter Reiss, Ard I. van Sighem, Mark Nelson, Julio S. G. Montaner, H. Clifford Lane, Brendan A. Larder. Journal of Antimicrobial Chemotherapy ; New predictive models for individualising HIV therapy in countries with limited resources. Journal of Antimicrobial Chemotherapy, Volume 71, Issue 10, 1 October 2016, pages 2928-2937. doi: 10.1093/jac/dkw217
Revell AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers R, Reiss P, van Sighem AI, Nelson M, Montaner JS, Lane C and Larder BA. An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype. J Antimicrob Chemother 2016; doi: 10.1093/jac/dkw217
- 2014
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Larder BA. Predicting response to HIV Therapy. Future Virol 2014; 9(5); 453-456.
Revell AD, Boyd AD, Wang D, Emery S, Gazzard B, Reiss P, van Sighem AI, Montaner JS, Lane C and Larder BA. A comparison of computational models with and without genotyping for prediction of response to second-line HIV therapy. HIV Med (2014); 15(7): 442-448. doi: 10.1111/hiv.12156
- 2013
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Revell AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers R, Alvarez-Uria G, Streinu-Cercel A, Ene L, Wensing A, Reiss P, van Sighem AI, Nelson M, Emery S, Montaner JS, Lane C and Larder BA on behalf of the RDI Study Group. An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes. J Antimicrob Chemother 2014; 69(4): 1104-1110. doi: 10.1093/jac/dkt447
Revell AD, Alvarez-Uria G, Wang D, Pozniak A, Montaner JS, Lane C and Larder BA. Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting. Biomed Res Int 2013; Article ID 579741, 6 pages doi: 10.1155/2013/579741
Revell AD, Wang D, Wood R, Morrow C, Tempelman H, Hamers R, Alcarez-Uria G, Streinu-Cercel A, Ene L, Wensing A, De Wolf F, Nelson M, Montaner JS, Lane C, and Larder BA. Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings. J Antimicrob Chemother 2014; 69(4): 1104-1110. doi: 10.1093/jac/dkt041
- 2012
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Revell AD, Wang D, daEUR(TM)Ettorre G, De Wolf F, Gazzard B, Ceccarelli G, Gatell J, Perez-elias MJ, Vullo V, Montaner JS, Lane C and Larder BA. Modelling Treatment Response Could Reduce Virological Failure in Different Patient Populations. J AIDS Clinic Res 2012; S6:002. doi:10.4172/2155-6113.S6-002
Revell AD, Ene L, Duiculescu D, Wang D, Youle M, Pozniak A, Montaner JS, Larder BA. The use of computational models to predict response to HIV therapy for clinical cases in Romania. GERMS 2012; 2(1): 6-11. doi:10.11599/germs.2012.1007
- 2011
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Revell AD, Wang D, Boyd MA, Emery S, Pozniak AL, De Wolf F, Harrigan R, Montaner JS, Lane C, Larder BA, on behalf of the RDI Study Group. The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool. AIDS 2011; 25(15): 1855-63. doi: 10.1097/QAD.0b013e328349a9c2
Larder BA, Revell A, Mican JM, Agan BK, Harris M, Torti C, Izzo I, Metcalf JA, Rivera-Goba M, Marconi VC, Wang D, Coe D, Gazzard B, Montaner JS, and Lane C. Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experience. AIDS Patient Care STDs 2011; 25(1): 29-36. doi: 10.1089/apc.2010.0254
- 2010
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Revell AD, Wang D, Harrigan R, Hamers RL, Wensing AMJ, DeWolf F, Nelson M, Geretti A-M, Larder BA. Modelling response to HIV therapy without a genotype - an argument for viral load monitoring in resource-limited settings. J Antimicrob Chemother 2010; 65(4): 605-607. doi: 10.1093/jac/dkg032
- 2009
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Wang D, Larder BA, Revell AD, Montaner JS, Harrigan R, De Wolf F, Lange J, Wegner S, Ruiz L, Perez-Elias MJ, Emery S, Gatell J, D'Arminio Monforte A, Torti C, Zazzi M, Lane C. A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy. Original article published in: Artif Intell Med 2009; 47(1): 63-74. doi: 10.1016/j.artmed.2009.05.002
- 2007
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Larder BA, Wang D, Revell AD, Montaner JS, Harrigan R, De Wolf F, Lange J, Wegner S, Ruiz L, Perez-Elias MJ, Emery S, Gatell J, D'Arminio Monforte A, Torti C, Zazzi M and Lane C. The development of artificial neural networks to predict virological response to combination HIV therapy. Antivir Ther 2007; 12(1): 15-24
- 2014
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The HIV Treatment Response Prediction System - using the experience of treating tens of thousands of patients to guide optimal drug selection
Revell AD, Wang D, Reiss P, van Sighem A, Hamers R, Morrow C, Gazzard B, Montaner JS, Lane HC, Larder BA on behalf of the global RDI study group
Oral presentation at: HIV Drug Therapy in the Americas - HIVAmericas 8th May 2014 - 10th May 2014 - Rio de Janeiro, Brazil
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- 2013
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Accurate prediction of response to HIV therapy without a genotype a potential tool for therapy optimisation in resource-limited settings
Larder BA, Revell AD, Wang D, Hamers R, Tempelman H, Barth R, Wensing AMJ, Morrow C, Wood R, van Sighem A, Reiss P, Nelson M, Emery S, Montaner J, Lane HC, on behalf of the RDI study group
Oral presentation at: International Workshop on HIV & Hepatitis Drug Resistance and Curative Strategies 4th June 2013 - 8th June 2013 - Toronto, Canada
- 2012
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Computational models that predict response to HIV therapy can reduce virological failure and therapy costs in resource-limited settings
Revell AD, Wang D, Alvarez-Uria G, Streinu-Cercel A, Ene L, Wensing AMJ, Hamers RL, Morrow C, Wood R, Tempelman H, DeWolf F, Nelson M, Montaner JS, Lane HC, Larder BA on behalf of the RDI study group.
Oral presentation at: 11th International Congress on Drug Therapy in HIV Infection 11th November 2012 - 15th November 2012 - Glasgow, Scotland
View Abstract
View Slides
View Video
- 2011
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The use of computational models to predict response to HIV therapy and support optimal treatment selection
Revell AD
Oral presentation at: Scientific Days of the National Institute of Infectious Diseases 10th November 2011 - Bucharest, Romania
Modelling response to antiretroviral therapy without a genotype as a clinical tool for resource-limited settings
Larder BA, Revell AD, Wang D, Hamers R, Tempelman H, Barth R, Wensing AMJ, Morrow C, Wood R, DeWolf F, Kaiser R, Pozniak A, Lane HC, Montaner JM.
Oral presentation at: International Workshop on HIV & Hepatitis Drug Resistance and Curative Strategies 7th June 2011 - 10th June 2011 - Los Cabos, Mexico
- 2009
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Computational models developed without a genotype for resource-poor countries predict response to HIV treatment with 82% accuracy
Revell AD, Wang D, Harrigan R, Gatell J, Ruiz L, Emery S, Perez-Elias MJ, Torti C, Baxter J, DeWolf F, Gazzard B, Geretti AM, Staszewski S, Hamers R, Wensing AMJ, Lange J, Montaner JM, Larder BA .
Oral presentation at: XVIII International HIV Drug Resistance Workshop 9th June 2009 - 13th June 2009 - Fort Myers, USA
- 2005
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Treatment history improves the accuracy of neural networks predicting virologic response to HIV therapy
Wang D, Larder BA, Revell AD, Harrigan R, Montaner J, Wegner S, and Lane C.
Oral presentation at: BioSapiens-viRgil Workshop on Bioinformatics for Viral Infections 21st September 2005 - 23rd September 2005 - Caesar Bonn, Germany
- 2003
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HIV Drug Resistance Testing: Current Practice and Future Direction
Brendan A. Larder PhD. Chair of the RDI Scientific Core Group, Cambridge, UK
Oral presentation at: Whistler HIV Update 2003 29th March 2003 - 31st March 2003 - Whistler, Canada
- 2002
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The International HIV Resistance Response Database Initiative: A New Global Collaborative Approach to Relating Viral Genotype and Treatment to Clinical Outcome
Larder BA, DeGruttola V, Hammer S, Harrigan R, Wegner S, Winslow S & Zazzi M. On behalf of the HIV Resistance Response Database Initiative (RDI)
Oral presentation at: The XI International HIV Drug Resistance Workshop 2nd July 2002 - 5th July 2002 - Seville, Spain
- 2017
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The application of artificial intelligence to predict response to different HIV therapies, without a genotype: new models for therapy optimisation in resource-limited settings
Revell AD, Wang D, Hamers R, Morrow C, Wood R, Reiss P, van Sighem A, Johnson M, Ruiz L, Alvarez-Uria G, Sierra-Madero J, Montaner J, Lane HC, Larder BA on behalf of the RDI study group.
Poster presentation at: 9th IAS Conference on HIV Science 23rd July 2017 - 26th July 2017 - Paris, France
- 2014
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The HIV Treatment Response Prediction System - using the experience of treating tens of thousands of patients to guide optimal drug selection
Revell AD, Wang D, Reiss P, van Sighem A, Hamers R, Morrow C, Gazzard B, Montaner JS, Lane HC, Larder BA on behalf of the global RDI study group
Poster presentation at: HIV Drug Therapy in the Americas - HIVAmericas 8th May 2014 - 10th May 2014 - Rio de Janeiro, Brazil
- 2013
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The development of computer models that accurately predict response to HIV therapy without a genotype: a potential tool for therapy optimisation in resource-limited settings
Revell AD, Wang D, Streinu-Cercel A, Ene L, Dragovic GJ, Hamers R, Morrow C, Wood R, Tempelman H, AMJ Wensing, Reiss P, van Sighem A, Pozniak A, Montaner JS, Lane HC, Larder BA on behalf of the RDI study group
Poster presentation at: 14th European AIDS Conference 16th October 2013 - 19th October 2013 - Brussels, Belgium
Accurate prediction of response to HIV therapy without a genotype a potential tool for therapy optimisation in resource-limited settings
Larder BA, Revell AD, Wang D, Hamers R, Tempelman H, Barth R, Wensing AMJ, Morrow C, Wood R, van Sighem A, Reiss P, Nelson M, Emery S, Montaner J, Lane HC, on behalf of the RDI study group
Poster presentation at: International Workshop on HIV & Hepatitis Drug Resistance and Curative Strategies 4th June 2013 - 8th June 2013 - Toronto, Canada
- 2012
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Computational models that predict response to HIV therapy can reduce virological failure and therapy costs in resource-limited settings
Revell AD, Wang D, Alvarez-Uria G, Streinu-Cercel A, Ene L, Wensing AMJ, Hamers RL, Morrow C, Wood R, Tempelman H, DeWolf F, Nelson M, Montaner JS, Lane HC, Larder BA on behalf of the RDI study group.
Poster presentation at: 11th International Congress on Drug Therapy in HIV Infection 11th November 2012 - 15th November 2012 - Glasgow, Scotland
The development of new computational models for the HIV-TRePS online treatment selection tool
Revell AD, Wang D, DeWolf F, Gatell J, Ruiz L, Pozniak A, Perez-Elias MJ, Lane HC, Montaner JSG, Larder, BA on behalf of the global RDI study group
Poster presentation at: XIX International AIDS Conference 22nd July 2012 - 27th July 2012 - Washington DC, USA
Predicting response to antiretroviral therapy without a genotype: a clinical tool for resource-limited settings
Larder BA, Revell AD, Wang D, Hamers R, Tempelman H, Barth R, Wensing AMJ, Morrow C, Wood R, DeWolf F, Gazzard B, Lane HC, Montaner JM on behalf of the global RDI study group
Poster presentation at: XIX International AIDS Conference 22nd July 2012 - 27th July 2012 - Washington DC, USA
Models that accurately predict response to HIV therapy are generalisable to unfamiliar datasets and settings
Revell AD, Wang D, Streinu-Cercel A, Ene L, De Wolf F, Gazzard B, Gatell J, Ruiz L, Perez-Elias MJ, Montaner JSG, Lane HC, Larder BA on behalf of the global RDI study group.
Poster presentation at: International Workshop on HIV & Hepatitis Virus Drug Resistance and Curative Strategies 5th June 2012 - 9th June 2012 - Sitges, Spain
The development of new computational models for the HIV-TRePS online treatment selection tool
Revell AD, Wang D, DeWolf F, Gatell J, Ruiz L, Nelson, M, Perez-Elias, MJ, Lane HC, Montaner JSS, Larder, BA on behalf of the RDI study group.
Poster presentation at: 10th European Meeting on HIV & Hepatitis Treatment Strategies and Antiviral Drug Resistance 28th March 2012 - 30th March 2012 - Barcelona, Spain
- 2011
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Predicting response to antiretroviral therapy without a genotype: a treatment tool for resource-limited settings
Larder BA, Revell AD, Wang D, Ene L, Tempelman H, Barth RE, Wensing AM, Gazzard B, DeWolf F, Lane HC, Montaner JSS.
Poster presentation at: International AIDS Society Conference (IAS) 17th July 2011 - 20th July 2011 - Rome, Italy
Modelling response to antiretroviral therapy without a genotype as a clinical tool for resource-limited settings
Larder BA, Revell AD, Wang D, Hamers R, Tempelman H, Barth R, Wensing AMJ, Morrow C, Wood R, DeWolf F, Kaiser R, Pozniak A, Lane HC, Montaner JM.
Poster presentation at: International Workshop on HIV & Hepatitis Drug Resistance and Curative Strategies 7th June 2011 - 10th June 2011 - Los Cabos, Mexico
The use of data from multiple cohorts to develop an on-line HIV treatment selection tool
Revell AD, Wang DW, Coe D, Mican, JM, Agan BK, Harris M, Torti C, Izzo I, Emery S, Boyd M, Ene L, De Wolf F, Nelson M, Metcalf JA, Montaner JSS, Lane HC, Larder BA.
Poster presentation at: 15th International Workshop on HIV Observational Databases 24th March 2011 - 26th March 2011 - Prague, Czech Republic
Use of computational models to predict HIV treatment outcomes in Romania
Ene L, Duiculescu D, Revell AD, Wang D, Youle M, Pozniak A, Montaner J and Larder BA.
Poster presentation at: CROI 2011 27th February 2011 - 2nd March 2011 - Boston, USA
- 2010
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Experienced HIV physicians rate RDI system for predicting response to antiretroviral treatment (ART) as potentially useful treatment tool
Revell AD, Mican J, Agan B, Coe D, Wang D, Rivera-Goba M, Metcalf J, Pozniak A, Perez Elias MJ, Montaner JS, Lane HC, Larder BA.
Poster presentation at: XVIII International AIDS Conference 18th July 2010 - 23rd July 2010 - Vienna, Austria
The Development of Computational Models That Accurately Predict Virological Response to HIV Therapy to Power an Online Treatment Selection Tool
Larder BA, Wang D, Revell AD, Emery S, DeWolf F, Nelson M, Perez-Elias MJ, Harrigan PR, Montaner JS.
Poster presentation at: International HIV & Hepatitis Drug Resistance Workshop 8th June 2010 - 12th June 2010 - Dubrovnilk, Croatia
- 2009
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Computational models can accurately predict response to antiretroviral therapy without a genotype
Larder BA, Wang D, Revell AD, Harrigan R, Gatell J, Ruiz L, Emery S; Torti C, DeWolf F, Pozniak A, Montaner JM.
Poster presentation at: 49th Infectious Diseases Medical Congress, Microbiology Medical Congress (ICAAC) 12th September 2009 - 15th September 2009 - San Francisco, USA
Computational models developed without a genotype for resource-poor countries predict response to HIV treatment with 82% accuracy
Revell AD, Wang D, Harrigan R, Gatell J, Ruiz L, Emery S, Perez-Elias MJ, Torti C, Baxter J, DeWolf F, Gazzard B, Geretti AM, Staszewski S, Hamers R, Wensing AMJ, Lange J, Montaner JM, Larder BA .
Poster presentation at: XVIII International HIV Drug Resistance Workshop 9th June 2009 - 13th June 2009 - Fort Myers, USA
- 2008
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Preliminary Results of a Prospective Clinical Study of the RDI's Computational Models as a Treatment Decision Tool
Larder BA, Wang D, Revell AD, Coe D, Torti C, Montaner JSG, Harris M, Lane HC.
Poster presentation at: XVII International HIV Drug Resistance Workshop 10th June 2008 - 14th June 2008 - Sitges, Spain
- 2007
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Development of computational models for prediction of virologic response in a prospective clinical study
Larder BA, Wang D, Revell AD, Montaner J, Harrigan R, Wegner S, Lane HC.
Poster presentation at: XVI International HIV Drug Resistance Workshop 12th June 2007 - 16th June 2007 - Bridgetown, Barbados
- 2006
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Accurate prediction of virologic response to HAART using three computational modelling techniques
Larder BA, Wang D, De Wolf F, Lange J, Revell AD, Wegner S, Montaner JS, Harrigan R, Metcalf JA, Lane HC.
Poster presentation at: XV International HIV Drug Resistance Workshop 13th June 2006 - 17th June 2006 - Sitges, Spain
Neural Networks Are More Accurate Predictors of Virologic Response to Antiretroviral Therapy Than Rules-Based Genotype Interpretation Systems
Larder BA, Geretti AM, Monno L, Torti C, Revell AD, Wang D, Harrigan R, Montaner J and Lane HC.
Poster presentation at: CROI 2006 5th February 2006 - 8th February 2006 - Denver, USA
- 2005
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Treatment history but not previous genotype improves the accuracy of predicting virologic response to HIV therapy
Larder BA, Wang D, Revell AD, Harrigan R, Montaner J, Wegner S, and Lane C.
Poster presentation at: 45th ICAAC 16th December 2005 - 19th December 2005 - Washington DC, USA
Neural networks are more accurate predictors of virological response to HAART than rules-based genotype interpretation systems
Larder BA, Revell AD, Wang D, Harrigan R, Montaner J, Wegner S, and Lane C.
Poster presentation at: 10th European AIDS Conference/EACS 17th November 2005 - 20th November 2005 - Dublin, Ireland
Treatment history improves the accuracy of neural networks predicting virologic response to HIV therapy
Wang D, Larder BA, Revell AD, Harrigan R, Montaner J, Wegner S, and Lane C.
Poster presentation at: BioSapiens-viRgil Workshop on Bioinformatics for Viral Infections 21st September 2005 - 23rd September 2005 - Caesar Bonn, Germany
Addressing adherence improves the accuracy of neural networks' predictions of virologic treatment response
Montaner J, Larder BA, Wang D, Revell AD, Wegner S, Harrigan R and Lane C.
Poster presentation at: 3rd IAS Conference on HIV Pathogenesis and Treatment 24th July 2005 - 27th July 2005 - Rio de Janeiro, Brazil
Treatment history data significantly increase the accuracy of neural networks in predicting virological response to combination therapy
Larder BA, Wang D, Revell AD, Harrigan R, Montaner J, Wegner S, and Lane C.
Poster presentation at: 3rd IAS Conference on HIV Pathogenesis and Treatment 24th July 2005 - 27th July 2005 - Rio de Janeiro, Brazil
Global neural network models are superior to single clinic models as general quantitative predictors of virologic treatment response
Revell AD, Larder BA, Wang D, Wegner S, Harrigan R, Montaner J and Lane C.
Poster presentation at: 3rd IAS Conference on HIV Pathogenesis and Treatment 24th July 2005 - 27th July 2005 - Rio de Janeiro, Brazil
Global Neural Network Models Are Superior to Single Clinic Models as General Quantitative Predictors of Virologic Treatment Response
Wegner S, Larder BA, Wang D, Revell AD, Harrigan R, Montaner J and Lane C.
Poster presentation at: XIV International HIV Drug Resistance Workshop 7th June 2005 - 11th June 2005 - Quebec, Canada
Treatment History and Adherence Information Significantly Improves Prediction of Virological Response by Neural Networks
Larder BA, Wang D, Revell AD, Harrigan R, Montaner J, Wegner S, and Lane C.
Poster presentation at: 14th International HIV Drug Resistance Workshop 7th June 2005 - 11th June 2005 - Quebec, Canada
- 2004
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Previous Drug Exposure Data Significantly Increase the Accuracy of Artificial Neural Networks in Predicting Virological Response to Combination Therapy
Larder BA, Wang D, Revell AD, Harrigan R, Montaner J and Lane C.
Poster presentation at: 13th International Drug Resistance Workshop 8th June 2004 - 12th June 2004 - Tenerife, Spain
Accuracy of Neural Network Models in Predicting HIV Treatment Response from Genotype May Depend on Diversity as well as Size of Data Sets
Larder BA, Wang D, Revell AD, Harrigan R, Montaner J and Lane C.
Poster presentation at: The 11th Conference on Retroviruses and Opportunistic Infections 8th February 2004 - 11th February 2004 - San Francisco, USA
- 2003
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Neural network model identified potentially effective drug combinations for patients failing salvage therapy
Larder BA, Wang D, Revell AD and Lane C.
Poster presentation at: 2nd IAS Conference on HIV Pathogenesis and Treatment 13th July 2003 - 16th July 2003 - Paris, France
Artificial intelligence identifies effective drugs for HIV patients whose treatment is failing
Wang D, Larder BA, Revell AD, Harrigan R, Montaner J. On behalf of the HIV Resistance Response Database Initiative (RDI).
Poster presentation at: 12th International Workshop on HIV Drug Resistance 10th June 2003 - 13th June 2003 - Cabo, Mexico
- 2002
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A Collaborative HIV Resistance Response Database Initiative: Predicting Virological Failure Using Neural Network Models
Wang D & Larder BA. On Behalf of The HIV Resistance Response Database Initiative (RDI)
Poster presentation at: 4th International Congress on Drug Therapy in HIV Infection 17th November 2002 - 21st November 2002 - Glasgow, UK
A Collaborative HIV Resistance Response Database Initiative: Predicting Virological Response Using Neural Network Models
Wang D, DeGruttola V, Hammer S, Harrigan R, Larder BA, Wegner S, Winslow D & Zazzi M. On Behalf of The HIV Resistance Response Database Initiative (RDI)
Poster presentation at: International HIV Drug Resistance Workshop 2nd July 2002 - 5th July 2002 - Seville, Spain
- 2015
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A free online system to predict HIV treatment response HIV TRePS
Dr. R.L. Hamers, internist-infectioloog i.o.
HIV Bulletin - Year 9, Number 1, 2015
- 2014
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A World of HIV Treatment Experience Freely Available at the Click of a Mouse
Andrew Revell, PhD, Gerardo Alvarez-Uria, MD, Brian Gazzard, MD, Julio SG Montaner, MD, H. Clifford Lane, MD and Brendan Larder, PhD.
The YRG Care Bulletin, India - Volume 2, Issue 1, April 2014
- 2013
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Learning from others' experience: Computational models to optimise therapy in low- and middle-income countries
SSAT Newsletter - St Stephen's AIDS Trust newsletter November 2013
- 2008
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Application of artificial neural networks for decision support in medicine
Brendan Larder, Dechao Wang and Andy Revell