Antiretroviral therapy optimisation without genotype resistance testing: A perspective on treatment history based models
- Mattia C. F. Prosperi
- Michal Rosen-Zvi
- et al.
- 2010
- PLoS ONE
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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9 results for Rolf Kaiser
Comparison of classifier fusion methods for predicting response to anti HIV-1 therapy
- André Altmann
- Michal Rosen-Zvi
- et al.
- 2008
- PLoS ONE
Predicting the response to combination antiretroviral therapy: retrospective validation of geno2pheno-theo on a large clinical database
- Andre Altmann
- Martin Däumer
- et al.
- 2009
- Journal of Infectious Diseases
Selecting anti-HIV therapies based on a variety of genomic and clinical factors
- Michal Rosen-Zvi
- Andre Altmann
- et al.
- 2008
- Bioinformatics
Predicting response to antiretroviral treatment by machine learning: The euresist project
- Maurizio Zazzi
- Francesca Incardona
- et al.
- 2012
- Intervirology
Efficacy of antiretroviral therapy switch in HIV-infected patients: A 10-year analysis of the EuResist cohort
- Mark Oette
- Eugen Schülter
- et al.
- 2012
- Intervirology
History-alignment models for bias-aware prediction of virological response to HIV combination therapy
- Jasmina Bogojeska
- Daniel Stöckel
- et al.
- 2012
- JMLR
Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study)
- Maurizio Zazzi
- Rolf Kaiser
- et al.
- 2010
- HIV Medicine
Advantages of predicted phenotypes and statistical learning models in inferring virological response to antiretroviral therapy from HIV genotype
- André Altmann
- Tobias Sing
- et al.
- 2009
- Antiviral Therapy