RDI - HIV Resistance Response Database Initiative
RDI AIDS HIV Resistance
 
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Publications and Presentations


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
Glasgow 2012 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

Glasgow 2012 O234 Poster (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
AIDS and Clinical Research Paper 2012 (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
ICA 2012 RDI Poster MOPE744 (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
ICA 2012 RDI Poster TUPE091 (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
IWHHDRCR 2012 RDI 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
EU10 HIV RDI 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
GERMS 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

Bucharest November 2011 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. Revella, Dechao Wanga, Mark A. Boydb,c, Sean Emeryb, Anton L. Pozniakd, Frank De Wolfe, P. Richard. Harriganf, Julio S.G. Montanerf, H. Clifford. Laneg, Brendan A. Lardera, 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
IAS July 2011 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
IHDRW 2011 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
IWHOD March 2011 RDI 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
IWHOD March 2011 RDI 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
CROI 2011 RDI 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
AIDS Patient Care STDs 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

 

 


Poster presentation at:
XVIII International AIDS Conference, Vienna, Austria, 18th-23rd July 2010



Poster
RDI Poster presented at ICA 2010 (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

 

 


Poster presentation at:
International HIV & Hepatitis Drug Resistance Workshop, Dubrovnilk, Croatia, 8th-12th June 2010



Poster
RDI Poster presented at IHDRW 2010 (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


 

 

 

 

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.

 

 


Poster presentation at:
49th Infectious Diseases Medical Congress, Microbiology Medical Congress (ICAAC). San Francisco, USA.12th - 15th September 2009



Poster

RDI Poster presented at ICAAC 2009 (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
HIV AIIM Article 2009 (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
RDI Poster presented at IHDRW 2009 (661k)

Slides
IHDRW 2009 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

Poster from IHDRW 2008 (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 Lane 4.

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

Poster from IHDRW 2007 (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
Antiviral Therapy (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

Poster from IHDRW 2006 (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. Montaner5, 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
Poster from CROI 2006 (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
Poster for ICAAC 2005 (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

Poster for EACS 2005 (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
Poster for BioSapiens 2005 (231k)

Slides
Slides of BioSapiens Presentation (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

Global Models IAS 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
Treatment History IAS 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
Adherence IAS 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

Quebec 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

Quebec 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

Tenerife 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
CROI 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

IAS 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

Cabo 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
Int Congress 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
XI Drug Resistance Workshop 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

XI Intl Drug Resistance Workshop Seville (132k)


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