Treating HIV with Smart Algorithms       


Medical, Health Informatics and Computational Biology Accomplishment | 2008

IBM researchers: Michal Rosen-Zvi, Yardena Peres, Ehud Aharoni, Tal El-Hay and Yaara Goldschmidt

Where the work was done: IBM Haifa Research Lab

What we accomplished: The EuResist Network GEIE (formed by MPG, Informa, KI, UniSiena and UniKoeln), together with IBM, developed a Web server that predicts the effectiveness of anti-HIV therapies on the basis of viral genotype and clinical information. The EuResist prediction system helps clinicians choose the best drugs and drug combinations for any given HIV genetic variant. It is trained on data from more than 65,000 individuals with AIDs treated in ten different European countries. The system has performed better than nine out of ten expert physicians in a study of the ability to predict the outcome of a given treatment (HIV Medicine Journal). This work is an ongoing effort where the recommendation system is updated as more data are accumulated and new drugs become available.

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Image credit: euresist

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