RDI - Publications and Presentations

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The core activity of the RDI is to elucidate the link between changes in the code of HIV, the genotype, and the response of the patient to different combinations of HIV drugs. New information about this relationship, and developments in our ability to mathematically model this relationship are of interest to the scientific, medical and HIV communities worldwide. We are, therefore, committed to the dissemination of our results, including via scientific presentation and publication.

Follow the links below to see abstracts from our publications as well as posters and slides from scientific conferences.

Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings
Andrew D. Revell¹, Dechao Wang¹, Robin Wood², Carl Morrow², Hugo Tempelman³, Raph Hamers⁴, Gerardo Alcarez-Uria⁵, Adrian Streinu-Cercel⁶, Luminita Ene⁷, Annemarie Wensing⁸, Frank De Wolf⁹, Mark Nelson¹⁰, Julio Montaner¹¹, H. Lane¹², and Brendan Larder¹ ¹The HIV Resistance Response Database Initiative (RDI), London UK ²Desmond Tutu HIV Centre, Cape Town, South Africa ³Ndlovu Care Group, Elandsdoorn, South Africa ⁴PharmAccess Foundation, Dept of Global Health, Academic Medical Centre of the University of Amsterdam, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands ⁵Rural Development Trust (RDT) Hospital, Bathalapalli, AP, India ⁶National Institute of Infectious Diseases Prof.Dr. Matei Balş, Bucharest, Romania ⁷“Dr. Victor Babes” Hospital for Infectious and Tropical Diseases, Bucharest, Romania ⁸Dept of Virology, Medical Microbiology, University Medical Centre, Utrecht, The Netherlands ⁹Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ¹⁰Chelsea and Westminster Hospital, London, UK ¹¹BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ¹²National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA Paper published in: Journal of Antimicrobial Chemotherapy, DOI: 10.1093/jac/dkt041	Link to journal
Computational models that predict response to HIV therapy can reduce virological failure and therapy costs in resource-limited settings
Revell AD¹, Wang D¹, Alvarez-Uria G², Streinu-Cercel A³, Ene L⁴, Wensing AMJ⁵, Hamers RL⁶, Morrow C⁷, Wood R⁷, Tempelman H⁸, DeWolf F⁹, Nelson M¹⁰, Montaner JS¹¹, Lane HC¹², Larder BA¹ on behalf of the RDI study group ¹The HIV Resistance Response Database Initiative (RDI), London UK ²Rural Development Trust (RDT) Hospital, Bathalapalli, AP, India ³National Institute of Infectious Diseases Prof.Dr. Matei Balş, Bucharest, Romania ⁴“Dr. Victor Babes” Hospital for Infectious and Tropical Diseases, Bucharest, Romania ⁵Dept of Virology, Medical Microbiology, University Medical Centre, Utrecht, The Netherlands ⁶PharmAccess Foundation, Dept of Global Health, Academic Medical Centre of the University of Amsterdam, Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands ⁷Desmond Tutu HIV Centre, Cape Town, South Africa ⁸Ndlovu Care Group, Elandsdoorn, South Africa ⁹Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ¹⁰Chelsea and Westminster Hospital, London, UK ¹¹BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ¹²National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA	Abstract Slides (439k)
Late breaker oral O234 presentation at: 11th International Congress on Drug Therapy in HIV Infection 11-15th November 2012 Glasgow, Scotland	Late breaker oral (711k)
Modelling Treatment Response Could Reduce Virological Failure in Different Patient Populations
Andrew D Revell¹, Dechao Wang¹, Gabriella d’Ettorre², Frank DE Wolf³, Brian Gazzard⁴, Giancarlo Ceccarelli⁵, Jose Gatell⁶, María Jésus Pérez-elías⁷, Vincenzo Vullo⁸, Julio S Montaner⁹, H Clifford Lane¹⁰ and Brendan A Larder¹ ¹ The HIV Resistance Response Database Initiative (RDI), London, UK ² Policlinico Umberto I, Rome, Italy ³ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁴ Chelsea and Westminster Hospital, London, UK ⁵ Italian Red Cross, Rome, Italy ⁶ Hospital Clinic of Barcelona, Barcelona, Spain ⁷ Ramón y Cajal Hospital, Madrid, Spain ⁸ University of Rome Sapienza, Rome, Italy ⁹ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ¹⁰ National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA Paper published in: J AIDS Clinic Res S6:002. doi:10.4172/2155-6113.S6-002	Paper (1.8MB)
Predicting response to antiretroviral therapy without a genotype: a clinical tool for resource-limited settings
BA Larder¹, AD Revell¹, D Wang¹, R Hamers², H Tempelman³, R Barth⁴, AMJ Wensing⁴, C Morrow⁵, R Wood⁵, F DeWolf⁶, B Gazzard⁷, HC Lane⁸, JM Montaner⁹ on behalf of the global RDI study group ¹ HIV Resistance Response Database Initiative (RDI), London, UK ² PharmAccess Foundation, Academic Medical Centre, Amsterdam, The Netherlands ³ Ndlovu Care Group, Elandsdoorn, South Africa ⁴ University Medical Centre, Utrecht, The Netherlands ⁵ Desmond Tutu HIV Centre, Cape Town, South Africa ⁶ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁷ Chelsea and Westminster Hospital, London, UK ⁸ National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA ⁹ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada	Abstract
Poster presentation at: XIX International AIDS Conference Washington DC, USA, 22nd -27th July 2012	Poster (621k)
The development of new computational models for the HIV-TRePS online treatment selection tool
Revell AD¹, Wang D¹, DeWolf F², Gatell J³, Ruiz L⁴, Pozniak A⁵, Perez-Elias MJ⁶, Lane HC⁷, Montaner JSG⁸, Larder, BA¹ on behalf of the global RDI study group ¹ RDI, London UK ² Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ³ Hospital Clinic of Barcelona, Barcelona, Spain ⁴ Fundació irsiCaixa, Badalona, Spain ⁵ Chelsea and Westminster Hospital, London, UK ⁶ Ramón y Cajal Hospital, Madrid, Spain ⁷ NIAID, Bethesda, USA ⁸ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada	Abstract
Poster Presentation at: XIX International AIDS Conference Washington DC, USA, 22nd -27th July 2012	Poster (629k)
Models that accurately predict response to HIV therapy are generalisable to unfamiliar datasets and settings
AD Revell¹, D Wang¹, A Streinu-Cercel², L Ene³, F De Wolf⁴, B Gazzard⁵, J Gatell⁶, L Ruiz⁷, MJ Perez-Elias⁸, JSG Montaner⁹, H C Lane¹⁰, BA Larder¹ on behalf of the global RDI study gsroup ¹ The HIV Resistance Response Database Initiative (RDI), London, UK. ² The National Institute of Infectious Diseases “Prof.Dr. Matei Balş”, Bucharest, Romania ³ “Dr. Victor Babes” Hospital for Infectious and Tropical Diseases, Bucharest, Romania ⁴ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁵ Chelsea and Westminster Hospital, London, UK ⁶ Hospital Clinic of Barcelona, Barcelona, Spain ⁷ Fundació irsiCaixa, Badalona, Spain ⁸ Ramón y Cajal Hospital, Madrid, Spain ⁹ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ¹⁰ NIAID, Bethesda, USA	Abstract
Poster Presentation at: International Workshop on HIV & Hepatitis Virus Drug Resistance and Curative Strategies Sitges, Spain, 5th - 9th June 2012	Poster (621k)
The development of new computational models for the HIV-TRePS online treatment selection tool
Revell AD¹, Wang D¹, DeWolf F², Gatell J³, Ruiz L⁴, Nelson⁵, M, Perez-Elias⁶, MJ, Lane HC⁷, Montaner JSS⁸, Larder, BA¹ on behalf of the RDI study group. ¹ RDI, London UK ² Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ³ Hospital Clinic of Barcelona, Barcelona, Spain ⁴ Fundació irsiCaixa, Badalona, Spain ⁵ Chelsea and Westminster Hospital, London, UK ⁶ Ramón y Cajal Hospital, Madrid, Spain ⁷ NIAID, Bethesda, USA ⁸ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada	Abstract
Poster Presentation at: 10th European Meeting on HIV & Hepatitis Treatment Strategies and Antiviral Drug Resistance Barcelona, Spain, 28th - 30th March 2012	Poster (685k)
The use of computational models to predict response to HIV therapy for clinical cases in Romania
Revell AD, Ene L, Duiculescu D, Wang D, Youle M, Pozniak A, Montaner J, Larder BA. Paper published in: GERMS. 2012;2(1):6-11	Paper (348k) Link to journal
The use of computational models to predict response to HIV therapy and support optimal treatment selection
Slide presenatation at: Scientific Days of the National Institute of Infectious Diseases "Prof.Dr. Matei Bals” 10th November 2011 Bucharest, Romania	Slides (911k)
The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool
Andrew D. Revell^a, Dechao Wang^a, Mark A. Boyd^b,c, Sean Emery^b, Anton L. Pozniak^d, Frank De Wolfe, P. Richard. Harrigan^f, Julio S.G. Montaner^f, H. Clifford. Lane^g, Brendan A. Larder^a, on behalf of the RDI Study Group ^a RDI, London, UK ^b The Kirby Institute, University of New South Wales, Sydney, Australia ^c St. Vincent's Hospital, Sydney, New South Wales, Australia ^d Chelsea and Westminster Hospital, London, UK ^e Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ^f BC Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada ^g National Institutes of Allergy and Infectious Diseases, Bethesda, Maryland, USA	Abstract
Paper published in: AIDS 24 September 2011 - Volume 25 - Issue 15 - p 1855–1863 doi: 10.1097/QAD.0b013e328349a9c2 Clinical Science	Link to journal
Predicting response to antiretroviral therapy without a genotype: a treatment tool for resource-limited settings
Larder BA¹, Revell AD¹, Wang D¹, Ene L², Tempelman H³, Barth RE⁴, Wensing AM⁴, Gazzard B⁵, DeWolf F⁶, Lane HC⁷, Montaner JSS⁸. ¹ RDI, London UK ² “Dr. Victor Babes” Hospital for Infectious and Tropical Diseases, Bucharest, Romania ³ Ndlovu Care Group, Elandsdoorn, South Africa ⁴ UMC Utrecht, Netherlands ⁵ Chelsea and Westminster Hospital, London, UK ⁶ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁷ NIAID, Bethesda, USA ⁸ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada	Abstract
Oral and Poster presentation at: International AIDS Society Conference (IAS); 17-20 July 2011; Rome, Italy.	Poster (869k)
Modelling response to antiretroviral therapy without a genotype as a clinical tool for resource-limited settings
BA Larder¹, AD Revell¹, D Wang¹, R Hamers², H Tempelman³, R Barth⁴, AMJ Wensing⁴, C Morrow⁵, R Wood⁵, F DeWolf⁶, R Kaiser⁷, A Pozniak⁸, HC Lane⁹, JM Montaner¹⁰ ¹ HIV Resistance Response Database Initiative (RDI), London, UK ² PharmAccess Foundation, Academic Medical Centre, Amsterdam, The Netherlands ³ Ndlovu Care Group, Elandsdoorn, South Africa ⁴ University Medical Centre, Utrecht, The Netherlands ⁵ Desmond Tutu HIV Centre, Cape Town, South Africa ⁶ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁷ AREVIR cohort, University of Cologne, Cologne, Germany ⁸ Chelsea and Westminster Hospital, London, UK ⁹ National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA ¹⁰ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada	Abstract Slides (749k)
Oral and Poster presentation at: International Workshop on HIV & Hepatitis Drug Resistance and Curative Strategies; Los Cabos, Mexico - 7th-10th June 2011	Poster (788k)
The use of data from multiple cohorts to develop an on-line HIV treatment selection tool
Revell AD¹, Wang DW¹, Coe D¹, Mican, JM², Agan BK³, Harris M⁴, Torti C⁵, Izzo I⁵, Emery S⁶, Boyd M⁶, Ene L⁷, De Wolf F⁸, Nelson M⁹, Metcalf JA², Montaner JSS⁴, Lane HC², Larder BA¹. ¹ RDI, London, UK ² NIAID, Bethesda, MD, USA ³ Uniformed Services University of the Health Sciences, Bethesda, MD, USA ⁴ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ⁵ University of Brescia, Brescia, Italy ⁶ NCHECR, Sydney, Australia ⁷ “Dr. Victor Babes” Hospital for Infectious and Tropical Diseases, Bucharest, Romania ⁸ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁹ Chelsea and Westminster Hospital, London, UK	Abstract
Poster Presentation at: 15th International Workshop on HIV Observational Databases Prague, Czech Republic, 24th - 26th March 2011	Poster (765k)
Use of computational models to predict HIV treatment outcomes in Romania
Luminita Ene¹, D Duiculescu¹, A Revell², D Wang², M Youle³, A Pozniak⁴, J Montaner⁵ and B Larder² ¹ “Dr. Victor Babes” Hospital for Infectious and Tropical Diseases, Bucharest, Romania; ² RDI, London, UK; ³ HIV Training and Resource Initiative, London, UK; ⁴ Chelsea and Westminster Hospital, London, UK; ⁵ BC Centre for Excellence in HIV and AIDS, Vancouver, Canada	Abstract
Poster presentation at: CROI 2011, Boston, MA, USA, 27th February-2nd March 2011	Poster (466k)
Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experience
Larder BA¹, Revell A¹, Mican JM², Agan BK³, Harris M⁴, Torti C⁵, Izzo I⁵, Metcalf JA⁶, Rivera-Goba M⁶, Marconi VC³, Wang D¹, Coe D¹, Gazzard B⁷, Montaner J⁴, and Lane HC² ¹ The HIV Resistance Response Database Initiative (RDI), London, United Kingdom. ² National Institutes of Allergy and Infectious Diseases, Bethesda, Maryland. ³ Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland. ⁴ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada. ⁵ University of Brescia, Brescia, Italy. ⁶ National Institutes of Health, Clinical Center, Bethesda, Maryland. ⁷ Chelsea and Westminster Hospital, London, United Kingdom.	Paper (116k)
Paper published in: AIDS Patient Care STDs Published in Volume: 25 Issue 1: January 8, 2011	Link to journal
Experienced HIV physicians rate RDI system for predicting response to antiretroviral treatment (ART) as potentially useful treatment tool
Revell A¹, Mican J², Agan B³, Coe D¹, Wang D¹, Rivera-Goba M⁴, Metcalf J², Pozniak A⁵, Perez Elias MJ⁶, Montaner J⁷, Lane HC², Larder BA¹ ¹ The HIV Resistance Response Database Initiative (RDI), London, UK ² National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA ³ Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. ⁴ National Institutes of Health, Clinical Center, Bethesda, MD, USA ⁵ Chelsea and Westminster Hospital, London, UK ⁶ Ramon Y Cajal Hospital, Madrid, Spain ⁷ BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada	Abstract
Poster presentation at: XVIII International AIDS Conference, Vienna, Austria, 18th-23rd July 2010	Poster (590k)
The Development of Computational Models That Accurately Predict Virological Response to HIV Therapy to Power an Online Treatment Selection Tool
Larder BA¹, Wang D¹, Revell AD¹, Emery S², DeWolf F³, Nelson M⁴, Pérez-Elías MJ⁵, Harrigan PR⁶, Montaner JS⁶ ¹ The HIV Resistance Response Database Initiative (RDI), London, UK ² NCHECR, Sydney, Australia ³ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁴ Chelsea and Westminster Hospital, London, UK ⁵ Ramon Y Cajal Hospital, Madrid, Spain ⁶ BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada	Abstract
Poster presentation at: International HIV & Hepatitis Drug Resistance Workshop, Dubrovnilk, Croatia, 8th-12th June 2010	Poster (720k)
Modelling response to HIV therapy without a genotype – an argument for viral load monitoring in resource-limited settings
Revell AD¹, Wang D¹, Harrigan R², Hamers RL³, Wensing AMJ⁴, DeWolf F⁵, Nelson M⁶, Geretti A-M⁷, Larder BA¹ ¹ The HIV Resistance Response Database Initiative (RDI), London, UK ² The BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ³ PharmAccess Foundation, Academic Medical Center, The Netherlands ⁴ University Medical Center, Utrecht, The Netherlands ⁵ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁶ Chelsea and Westminster Hospital, London, UK ⁷ Royal Free Hospital, London, UK Leading article published in: Journal of Antimicrobial Chemotherapy 2010 65(4):605-607	Article Link to journal
Computational models can accurately predict response to antiretroviral therapy without a genotype
B Larder ¹, D Wang ¹, A Revell ¹, R Harrigan ², J Gatell ³, L Ruiz ⁴, S Emery ⁵; C Torti ⁶, F DeWolf ⁷, A Pozniak ⁸, JM Montaner ² ¹ RDI, London, UK ² BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ³ Hospital of Barcelona, Spain ⁴ Fundació irsiCaixa, Badalona, Spain ⁵ NCHECR, Sydney, Australia ⁶ University of Brescia, Brescia, Italy ⁷ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁸ Chelsea and Westminster Hospital, London, UK.	Abstract
Poster presentation at: 49th Infectious Diseases Medical Congress, Microbiology Medical Congress (ICAAC). San Francisco, USA.12th - 15th September 2009	Poster (623k)
A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy
Dechao Wang ¹, Brendan Larder ¹, Andrew Revell ¹, Julio Montaner ², Richard Harrigan ², Frank De Wolf ³, Joep Lange ⁴, Scott Wegner ⁵, Lidia Ruiz ⁶, María Jésus Pérez-Elías ⁷, Sean Emery ⁸, Jose Gatell ⁹, Antonella D’Arminio Monforte ¹⁰, Carlo Torti ¹¹, Maurizio Zazzi ¹², Clifford Lane ¹³ ¹ The HIV Resistance Response Database Initiative (RDI), London, UK ² BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ³ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ⁴ Academic Medical Centre of the University of Amsterdam, Amsterdam, The Netherlands ⁵ Uniformed Services University of the Health Sciences, Bethesda, MD, USA ⁶ Fundacio´ irsiCaixa, Badalona, Spain ⁷ Ramo´n y Cajal Hospital, Madrid, Spain ⁸ National Centre in HIV Epidemiology and Clinical Research, Sydney, Australia ⁹ Hospital Clinic of Barcelona, Barcelona, Spain ¹⁰ University of Milan (on behalf of ICONA), Milan, Italy ¹¹ Institute for Infectious and Tropical Diseases, University of Brescia (on behalf of the Italian MASTER Cohort), Brescia, Italy ¹² University of Siena (on behalf of the Italian ARCA database), Siena, Italy ¹³ National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA Original article published in: Artifical Intelligence in Medicine - Volume 47 No 1, September 2009	Article (447k)
Computational models developed without a genotype for resource-poor countries predict response to HIV treatment with 82% accuracy
AD Revell ¹, D Wang ¹, R Harrigan ², J Gatell ³, L Ruiz ⁴, S Emery ⁵, MJ Pérez-Elías ⁶, C Torti ⁷, J Baxter ⁸, F DeWolf ⁹, Brian Gazzard ¹⁰, AM Geretti ¹¹, S Staszewski ¹², R Hamers ¹³, AMJ Wensing ¹⁴, J Lange ¹⁵, JM Montaner ², BA Larder ¹ ¹ HIV Resistance Response Database Initiative (RDI), London, UK ² BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ³ Hospital Clinic of Barcelona, Barcelona, Spain ⁴ Fundació irsiCaixa, Badalona, Spain ⁵ National Centre in HIV Epidemiology and Clinical Research, Sydney, Australia ⁶ Ramón y Cajal Hospital, Madrid, Spain ⁷ University of Brescia, Brescia, Italy ⁸ Cooper University Hospital, NJ, Camden, USA ⁹ Netherlands HIV Monitoring Foundation, Amsterdam, The Netherlands ¹⁰ Chelsea and Westminster Hospital, London, UK ¹¹ Royal Free Hospital, London, UK ¹² Hospital of the Johann Wolfgang Goethe-University, Frankfurt, Germany ¹³ PharmAccess Foundation, Academic Medical Centre, Amsterdam, The Netherlands ¹⁴ University Medical Centre, Utrecht, The Netherlands ¹⁵ Academic Medical Centre, Amsterdam, The Netherlands. Slide and Poster presentation at: XVIII International HIV Drug Resistance Workshop, Fort Myers, Florida, USA, 9-13 June 2009	Poster (661k) Slides (622k)
Application of artificial neural networks for decision support in medicine
Brendan Larder, Dechao Wang and Andy Revell HIV Resistance Response Database Initiative (RDI), London, UK Chapter published in: D.S. Livingstone (ed),(2008). Artificial Neural Networks: Methods and Applications. Humana Press (Springer- Verlag), New York.	Abstract
Preliminary Results of a Prospective Clinical Study of the RDI’s Computational Models as a Treatment Decision Tool
BA Larder ¹, D Wang ¹, AD Revell ¹, D Coe ¹, C Torti ², JSG Montaner ³, M Harris ³, HC Lane ⁴. ¹ HIV Resistance Response Database Initiative (RDI), London, UK ² University of Brescia, Brescia, Italy ³ BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ⁴ National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, USA.	Abstract
Poster presentation at: XVII International HIV Drug Resistance Workshop, Sitges, Spain, 10-14 June 2008	Poster (1.16MB)
Development of computational models for prediction of virologic response in a prospective clinical study
BA Larder ¹, D Wang ¹, A Revell ¹, J Montaner ², R Harrigan ², S Wegner ³, HC Lane⁴. ¹ HIV Resistance Response Database Initiative (RDI), London, UK ² BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ³ Uniformed Services University of the Health Sciences, Bethesda, MD, USA ⁴ National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, USA	Abstract
Poster presentation at: XVI International HIV Drug Resistance Workshop, Bridgetown, Barbados, 12-16 June 2007	Poster (645k)
The development of artificial neural networks to predict virological response to combination HIV therapy
Brendan Larder ¹, Dechao Wang ¹, Andrew Revell ¹, Julio Montaner ², Richard Harrigan ², Frank De Wolf ³, Joep Lange ⁴, Scott Wegner ⁵, Lidia Ruiz ⁶, María Jésus Pérez-Elías ⁷, Sean Emery ⁸, Jose Gatell ⁹, Antonella D‘Arminio Monforte ¹⁰, Carlo Torti ¹¹, Maurizio Zazzi ¹² and Clifford Lane ¹³ ¹ The HIV Resistance Response Database Initiative, London, UK ² BC Centre for Excellence in HIV/AIDS, Vancouver, Canada ³ Netherlands HIV Monitoring Foundation, Amsterdam, the Netherlands ⁴ Academic Medical Centre of the University of Amsterdam, Amsterdam, the Netherlands ⁵ Uniformed Services University of the Health Sciences, Bethesda, MD, USA ⁶ Fundació irsiCaixa, Badalona, Spain ⁷ Ramón y Cajal Hospital, Madrid, Spain ⁸ National Centre in HIV Epidemiology and Clinical Research, Sydney, Australia ⁹ Hospital Clinic of Barcelona, Barcelona, Spain ¹⁰ University of Milan, Milan Italy (on behalf of ICONA) ¹¹ Institute for Infectious and Tropical Diseases, University of Brescia, Brescia, Italy (on behalf of the Italian MASTER Cohort) ¹² University of Siena, Siena, Italy (on behalf of the Italian ARCA database) ¹³ National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA	Abstract
Original article published in: Antiviral Therapy Volume 12 Year 2007 Issue 1	Journal Article (613k)
Accurate prediction of virologic response to HAART using three computational modelling techniques
BA Larder¹, D Wang¹, F De Wolf ², J Lange³, A Revell¹, S Wegner⁴, J Montaner⁵, R Harrigan⁵, JA Metcalf ⁶, HC Lane⁶. 1: RDI, London, UK; 2: Netherlands HIV Monitoring Foundation, Amsterdam, the Netherlands; 3: Academic Medical Centre of the University of Amsterdam, the Netherlands; 4: US Military HIV Research Program, Rockville, USA; 5: BC Centre for Excellence in HIV/AIDS, Vancouver, Canada; 6: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, USA.	Abstract
Poster presentation at: XV International HIV Drug Resistance Workshop, Sitges, Spain, 13-17 June 2006.	Poster (943k)
Neural Networks Are More Accurate Predictors of Virologic Response to Antiretroviral Therapy Than Rules-Based Genotype Interpretation Systems
B.A. Larder¹, A.M. Geretti², L. Monno³, C Torti⁴, A. Revell¹, D. Wang¹, R. Harrigan⁵, J. Montaner^5, and H. C. Lane⁶. 1: RDI, London, UK; 2: Royal Free Hospital, London, UK; 3. University of Bari, Italy (on behalf of the PhenGen study); 4: University of Brescia, Italy; 5: BC Centre for Excellence in HIV/AIDS Vancouver, Canada; 6: NIAID, Bethesda, MD, USA.	Abstract
Poster presentation at: CROI 2006, Denver, CO, USA, 5-8 February 2006.	Poster (536k)
Treatment history but not previous genotype improves the accuracy of predicting virologic response to HIV therapy
B.A. Larder 1 , D. Wang 1 , A. Revell 1 , R. Harrigan 2 , J. Montaner 2 , S. Wegner 3 , and C. Lane 4 . 1: HIV Resistance Response Database Initiative, London, UK; 2: BC Centre for Excellence in HIV/AIDS Vancouver, Canada; 3: US Military HIV Research Program, Rockville, MD, USA; 4: National Institute of Allergy & Infectious Diseases, Bethesda, MD, USA.	Abstract
Poster presentation at: 45th ICAAC, Washington DC, USA, 16-19 December 2005.	Poster (536k)
Neural networks are more accurate predictors of virological response to HAART than rules-based genotype interpretation systems
B.A. Larder 1 , A. Revell 1 , D. Wang 1 , R. Harrigan 2 , J. Montaner 2 , S. Wegner 3 , and C. Lane 4 . 1: HIV Resistance Response Database Initiative, London, UK; 2: BC Centre for Excellence in HIV/AIDS Vancouver, Canada; 3: US Military HIV Research Program, Rockville, MD, USA; 4: National Institute of Allergy & Infectious Diseases, Bethesda, MD, USA.	Abstract
Poster presentation at: 10th European AIDS Conference/EACS, Dublin Ireland, 17-20 November 2005.	Poster (210k)
Treatment history improves the accuracy of neural networks predicting virologic response to HIV therapy
D. Wang 1 , B.A. Larder 1 , A. Revell 1 , R. Harrigan 2 , J. Montaner 2 , S. Wegner 3 , and C. Lane 4 1: HIV Resistance Response Database Initiative, London, UK; 2: BC Centre for Excellence in HIV/AIDS Vancouver, Canada; 3: US Military HIV Research Program, Rockville, MD, USA; 4: National Institute of Allergy & Infectious Diseases, Bethesda, MD, USA.	Abstract
Slide and Poster presentation at: BioSapiens-viRgil Workshop on Bioinformatics for Viral Infections 21-23 September 2005, Caesar Bonn, Germany.	Poster (231k) Slides (230k)
Global neural network models are superior to single clinic models as general quantitative predictors of virologic treatment response
A. Revell 1 , B.A. Larder 1 , D. Wang 1 , S. Wegner 2 , R. Harrigan 3 , J. Montaner 3 and C. Lane 4 1: The HIV Resistance Response Database Initiative (RDI), London, UK; 2: US Military HIV Research Program, Rockville, MD, USA; 3: The BC Centre for Excellence in HIV/AIDS Vancouver, BC, Canada; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, USA.	Abstract
Poster presentation at: 3rd IAS Conference on HIV Pathogenesis and Treatment 24-27 July 2005, Rio de Janeiro, Brazil.	Poster (333k)
Treatment history data significantly increase the accuracy of neural networks in predicting virological response to combination therapy
B.A. Larder 1 , D. Wang 1 , A. Revell 1 , R. Harrigan 2 , J. Montaner 2 , S. Wegner 3 , and C. Lane 4 . 1: The HIV Resistance Response Database Initiative (RDI), London , UK ; 2: The BC Centre for Excellence in HIV/AIDS Vancouver , BC , Canada ; 3: US Military HIV Research Program, Rockville , MD , USA ; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda , MD , USA .	Abstract
Poster presentation at: 3rd IAS Conference on HIV Pathogenesis and Treatment 24-27 July 2005, Rio de Janeiro, Brazil.	Poster (247k)
Addressing adherence improves the accuracy of neural networks' predictions of virologic treatment response.
J. Montaner 1 , B.A. Larder 2 , D. Wang 2 , A. Revell 2 , S. Wegner 3 , R. Harrigan 1 and C. Lane 4. 1: The BC Centre for Excellence in HIV/AIDS Vancouver, BC, Canada (BC-CfE); 2: The HIV Resistance Response Database Initiative (RDI), London, UK; 3: US Military HIV Research Program, Rockville, MD, USA; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, USA.	Abstract
Poster presentation at: 3rd IAS Conference on HIV Pathogenesis and Treatment 24-27 July 2005, Rio de Janeiro, Brazil.	Poster (262k)
Treatment History and Adherence Information Significantly Improves Prediction of Virological Response by Neural Networks
B.A. Larder 1 , D. Wang 1 , A. Revell 1 , R. Harrigan 2 , J. Montaner 2 , S. Wegner 3 , and C. Lane 4 . 1: The HIV Resistance Response Database Initiative (RDI), London, UK; 2: The BC Centre for Excellence in HIV/AIDS Vancouver, Canada; 3: US Military HIV Research Program, Rockville, USA; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, USA.	Abstract
Poster presentation at: 14th International HIV Drug Resistance Workshop. Quebec, Canada; 7-11 June 2005	Poster (248k)
Global Neural Network Models Are Superior to Single Clinic Models as General Quantitative Predictors of Virologic Treatment Response
S. Wegner 1 , B.A. Larder 2 , D. Wang 2 , A. Revell 2 , R. Harrigan 3 , J. Montaner 3 and C. Lane 4 . 1: US Military HIV Research Program, Rockville, MD, USA; 2: RDI, London, UK; 3: The BC Centre for Excellence in HIV/AIDS Vancouver, BC, Canada; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, MD, USA.	Abstract
Poster presentation at: XIV International HIV Drug Resistance Workshop. Quebec, Canada; 7-11 June 2005	Poster (218k)
Previous Drug Exposure Data Significantly Increase the Accuracy of Artificial Neural Networks in Predicting Virological Response to Combination Therapy
B.A. Larder 1 , D Wang 1 , A Revell 2 , R Harrigan 3 , J Montaner 3 and C. Lane 4 . 1: The HIV Resistance Response Database Initiative (RDI), Cambridge , UK ; 2: RDI Ltd, London , UK ; 3: The BC Centre for Excellence in HIV/AIDS Vancouver , Canada ; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda , USA .	Abstract
Poster presentation at: 13th International Drug Resistance Workshop Costa Adeje - Tenerife Sur, Canary Islands, Spain; June 8-12, 2004	Poster (220k)
Accuracy of Neural Network Models in Predicting HIV Treatment Response from Genotype May Depend on Diversity as well as Size of Data Sets
B.A. Larder 1 , D Wang 1 , A Revell 2 , R Harrigan 3 , J Montaner 3 and C. Lane 4 . 1: The HIV Resistance Response Database Initiative (RDI), Cambridge, UK; 2: RDI Ltd, London, UK; 3: The BC Centre for Excellence in HIV/AIDS Vancouver, Canada; 4: National Institute of Allergy and Infectious Diseases (NIAID), Bethesda, USA.	Abstract
Poster presentation at: The 11th Conference on Retroviruses and Opportunistic Infections San Francisco, CA, USA; 8-11 February 2004	Poster (202k)
Neural network model identified potentially effective drug combinations for patients failing salvage therapy
B.A. Larder 1, D Wang 1, A Revell 2 and C. Lane 3. 1: The HIV Resistance Response Database Initiative (RDI), Cambridge, UK; 2: RDI, London, UK; 3: National Institute of Allergy and Infectious Diseases, Bethesda, USA.	Abstract
Poster presentation at: 2nd IAS Conference on HIV Pathogenesis and Treatment Paris, France; 13-16 July 2003	Poster (154k)
Artificial intelligence identifies effective drugs for HIV patients whose treatment is failing
D. Wang, B.A. Larder, A. Revell, R. Harrigan, J. Montaner. On behalf of the HIV Resistance Response Database Initiative (RDI).	Abstract
Poster presentation at: 12th International Workshop on HIV Drug Resistance Cabo, Mexico; 10-13 June 2003	Poster (135k)
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 Whistler, BC, Canada; March 29-31, 2003	Abstract
A Collaborative HIV Resistance Response Database Initiative: Predicting Virological Failure Using Neural Network Models
D. Wang & B.A. Larder. On Behalf of The HIV Resistance Response Database Initiative (RDI)	Abstract
Poster presentation at: 4th International Congress on Drug Therapy in HIV Infection Glasgow, UK; 17-21 November 2002	Poster (146k)
The International HIV Resistance Response Database Initiative: A New Global Collaborative Approach to Relating Viral Genotype and Treatment to Clinical Outcome.
B.A. Larder, V.DeGruttola, S. Hammer, R. Harrigan, S. Wegner, D. Winslow & M. Zazzi. On behalf of the HIV Resistance Response Database Initiative (RDI)	Abstract
Oral presentation at: The XI International HIV Drug Resistance Workshop Seville, Spain; 2-5 July 2002	Slides (1.29Mb)
A Collaborative HIV Resistance Response Database Initiative: Predicting Virological Response Using Neural Network Models
D Wang, V.DeGruttola, S. Hammer, R. Harrigan, B. Larder, S. Wegner, D. Winslow & M. Zazzi. On Behalf of The HIV Resistance Response Database Initiative (RDI)	Abstract
Poster presentation at: The XI International HIV Drug Resistance Workshop Seville, Spain; 2-5 July 2002	Poster (132k)

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