New Computer Modeling Analyzes Drug Therapies for HIV Patients

Matching a patient with HIV to the right combination of drugs can be time consuming and frustrating for physician and patient alike. With literally hundreds of combinations of various HIV and AIDS drug therapies, physicians have to consider the patient’s viral load, the strain of HIV, possible interactions with other medications the patient is taking, other health issues, side effects, and other factors. The result: an expensive process of trial and error.

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But a new computer modeling program launched by RDI, a non-profit UK based research group, aims to change all that.

The new HIV Treatment Response Prediction System (HIV-TrePS) uses complex computer models to analyze data from tens of thousands of HIV and AIDS patients worldwide. Using the Internet, physicians enter patient’s data such as blood test results, other drugs being used, and responses to treatment, and within seconds, the system predicts patient response to hundreds of possible combinations of HIV drugs.

The computer models are based on data from more than 60,000 HIV and AIDS patients who have been treated in hospitals around the globe.  The HIV-TRePS system compares patient data to information in its database to recommend treatments based on correlations between the patient and the models in the database.

Dr. Julio Montaner, past President of the International AIDS Society, and Director of the BC Centre for Excellence in HIV & AIDS in Vancouver, Canada, commented that making the data of thousands of different patients available to doctors has the potential to improve outcomes for HIV/AIDS patients, especially in areas where resources are scarce. RDI is working on an application of the program in less developed regions such as Africa, where medical care and resources are limited, and where fewer treatment options are available.

The model estimates how likely it is that any given combination of drugs will reduce the amount of virus in the blood to below-detectable levels, based on the experiences of other patients. RDI reported accuracy levels of approximately 80 percent during development and testing, and says finding effective treatments more efficiently will reduce both the number of drugs and the cost of drugs used to treat any one patient.

According to the Joint United Nations Programme on HIV AIDS, AIDS has killed more than 25 million people between 1981 and 2007, and an estimated 33 million people were living with HIV as of 2007.

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December 1 is World Aids Day, which raises awareness of HIV/AIDS. The RDI HIV Resistance Response Database Initiative is a U.K. based not-for-profit organization whose mission is to improve the clinical management of HIV infection through the research into and application of bioinformatives and pharmacogenomics (tailoring drug therapy on the basis of genetic information).

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