New predictive models accurately predict HIV treatment response despite missing data
Thursday 29th April 2021
The most accurate models to date for predicting response to HIV therapy are released for clinical use
Wednesday 18th December 2019
New versatile version of HIV-TRePS launched
Tuesday 2nd April 2019
AI models predict absolute virological response to HIV therapy over time
Friday 15th March 2019
New predictive models for individualising HIV therapy in countries with limited resources
Friday 8th June 2018
Latest models launched with enhanced clinical utility
Thursday 30th November 2017
HIV-TRePS on the move
Thursday 13th April 2017
Most effective models to date for predicting HIV treatment responses now published in major journal
Thursday 23rd June 2016
HIV-TRePS just got even better
Tuesday 16th February 2016
ABL and RDI collaborate to enhance HIV patient management
Monday 2nd June 2014
IAPAC and RDI Form Strategic Partnership to Help Prevention of HIV Drug Resistance in Resource-Constrained Settings
Monday 27th January 2014
RDI and Load Zero Foundation join forces to support HIV treatment in resource-limited countries
Friday 6th December 2013
New computer models predict how a patient will respond to HIV drug therapy without the need for HIV genotype
- Journal of Antimicrobial Chemotherapy, DOI: 10.1093/jac
Monday 25th November 2013
Computer models predict how patients will respond to HIV drugs without the need for resistance testing
- Journal of Antimicrobial Chemotherapy, DOI: 10.1093/jac/dkt041
Thursday 14th March 2013
Online tool to reduce cost and improve outcomes of HIV treatment
Tuesday 13th November 2012
New HIV-TRePS models include predictions to raltegravir
Wednesday 22nd February 2012
Computer models that predict response to treatment published in the international journal AIDS
Wednesday 14th September 2011
Revell, A. Putting the experience of treating thousands of patients at every doctor's fingertips. HAART, HIV correlated Pathologies and other infections, 2011; 321-326
Monday 1st August 2011
Experimental online tool launched to guide HIV treatment decisions without the need for resistance testing
Monday 18th July 2011
Clinical studies by expert HIV clinicians suggest that HIV-TRePS may have clinical and economic benefits
Tuesday 18th January 2011
New computer modelling system predicts responses to HIV and AIDS treatments
Wednesday 6th October 2010
Bristol-Myers Squibb joins RDI in combating HIV drug resistance
Thursday 7th April 2005
Artificial intelligence identifies effective drugs for HIV patients whose treatment is failing
Thursday 12th June 2003
RDI receives major funding and data from leading HIV centre
Tuesday 29th April 2003
New not-for-profit organization launched to combat HIV resistance
Tuesday 4th March 2003
Global initiative launched to combat HIV drug resistance
Thursday 4th July 2002
Predictive computer models to optimise HIV therapy
https://www.medicalbrief.co.za/archives/predictive-computer-models-optimise-hiv-therapy/
Computer models predict how patients will respond to HIV drugs without the need for resistance testing
http://esciencenews.com/sources/science.daily/2013/03/13/computer.models.predict.how.patients.will.respond.hiv.drugs.without.need.resistance.testing
RDI launches experimental online tool to guide HIV treatment decisions
http://www.positivelivingbc.org/news/110719/rdi-launches-experimental-online-tool-guide-hiv-treatment-decisions?page=31
RDI Launches Experimental Online Tool to Guide HIV Treatment Decisions for Patients in Romania and South Africa
http://plazaegov.blogspot.com/2011/07/rdi-launches-experimental-online-tool.html
Free Online Resource for Treatment Decisions Without Access to Genotype Resistance Tests
http://www.thebody.com/content/63699/free-online-resource-for-treatment-decisions-witho.html
New Online System Matches HIV+ Patients with Treatments
http://www.realjock.com/article/1749
New Computer Modeling System Predicts Which HIV Combos Are Best
http://www.poz.com/articles/hiv_resistance_treps_761_19217.shtml
RDI launches HIV-TRePS system to predict patients' response to HIV drugs
http://www.news-medical.net/news/20101006/RDI-launches-HIV-TRePS-system-to-predict-patientse28099-response-to-HIV-drugs.aspx
RDI launches HIV-TRePS system to predict patients' response to HIV drugs
http://www.eatg.org/eatg/Global-HIV-News/Treatment/RDI-launches-HIV-TRePS-system-to-predict-patients-response-to-HIV-drugs
New Computer Modelling System Predicts Responses to HIV and AIDS Treatments
http://www.sciencedaily.com/releases/2010/10/101006085448.htm
New Software Could Predict Patient Responses to HIV Drugs
http://www.pharmaceutical-technology.com/news/news97982.html
Computer Predicts Responses to HIV/AIDS Treatment
http://news.softpedia.com/news/Computer-Predicts-Responses-to-HIV-AIDS-Treatment-159702.shtml
Launch of models that cater for missing baseline data and different definitions of virological response
Tuesday 31st August 2021
Predicting HIV therapy response despite missing data - new models published
Thursday 29th April 2021
New models that predict treatment outcome without the need for a baseline CD4 count or genotype added to HIV-TRePS
Thursday 18th June 2020
RDI expands the range of models available through HIV-TRePS to include their most accurate models to date
Wednesday 18th December 2019
New models now available in HIV-TRePS
Wednesday 29th May 2019
New versatile version of HIV-TRePS launched
Tuesday 2nd April 2019
AI models predict absolute virological response to HIV therapy over time
Friday 15th March 2019
New HIV-TRePS Models Published
Friday 8th June 2018
World AIDS Day: New more clinically applicable models now available for patients with or without a genotype, as part of HIV-TRePS Version 9
Friday 1st December 2017
Mobile version of TRePS now available using our latest models v8.5.4.0
Thursday 13th April 2017
RDI models perform well with Phidisa cohort in South Africa
Thursday 7th July 2016
Most effective models to date for predicting HIV treatment responses now published in major journal
Friday 24th June 2016
HIV-TRePS v7.5.3.0 - All new models now available for patients with or without a genotype
Tuesday 16th February 2016
HIV-TRePS update: reports by email
Friday 17th April 2015
RDI launches new web site
Wednesday 21st January 2015
ABL and RDI collaborate to enhance HIV patient management
Monday 2nd June 2014
Second line study analysis published
Thursday 17th April 2014
IAPAC and RDI Form Strategic Partnership to Help Prevention of HIV Drug Resistance in Resource-Constrained Settings
Monday 27th January 2014
RDI and Load Zero Foundation join forces to support HIV treatment in resource-limited countries
Friday 6th December 2013
New computer models predict how a patient will respond to HIV drug therapy without the need for HIV genotype
Monday 25th November 2013
New models now available as part of HIV-TRePS v6.4.2.0
Friday 8th November 2013
HIV-TRePS may reduce therapy costs as well as failures - Indian cohort study published in Biomedical Research International
Friday 11th October 2013
New models now available as part of HIV-TRePS v5.3.2.0
Friday 12th July 2013
HIV-TRePS models that do not require a genotype published in the Journal of Antimicrobial Chemotherapy
Wednesday 13th March 2013
HIV-TRePS used to model costs and effectiveness of ART in oral late breaker in Glasgow
Tuesday 13th November 2012
RDI launches experimental online tool to predict treatment response without the need for resistance testing
Monday 18th July 2011