Posts tagged modeling

London, UK (openPR) 6 October 2010

A revolutionary system to predict how patients with HIV and AIDS will be to different drugs today from RDI, a response to the United Kingdom without the group of non-profit research. The experimental system, called HIV-treatment prediction system (stripping HIV) is available free on the Internet and help doctors choose the best treatment for their patients.

HIV omitting leverages the power of complex computer models that have been trained worldwide using data from tens of thousands of patients in hospitals. Doctors access the system via the Internet and give their patients? s data and advance the system as patients respond to the hundreds of possible combinations of drugs against HIV. Within seconds, the physician receives a report from the drug combinations that predict which models are most likely to work.

FEI and its partners have shown that the system to improve patient and potentially reduce the total number â? and thus the cost â? Drugs are used.

â? This is a very exciting development? The system is literally the experience of treating thousands of patients to different doctora? Fingertips â? Said Dr. Julio Montaner, former president of the International AIDS Society and director of the BC Centre for Excellence in HIV / AIDS, in Vancouver, Canada. â? This has the potential to improve outcomes for people with HIV and AIDS worldwide, especially when resources and expertise scarce.â p> are ???? recruiting and selecting therapies for patients with HIV and AIDS in order to keep the virus suppressed complex and difficult. There are about 25 anti-HIV drugs available, from which doctors usually choose a combination of three or more to remove the virus. However, mutations occurring in the genetic code of the virus resistance to drugs used against them cause. The doctor then has to overcome a new combination of drugs with these resistant strain.

computer models for omitting called HIV? Random forests, â? base their predictions on a range of over 80 different variables, including changes in the genetic code of the virus, use of drugs to patients in the past number of CD4 cells (a type of white blood cells that are attacked by the treated HIV) and the amount of virus in the blood. The models estimate the probability for each combination of drugs that reduce the amount of virus in the blood below the limit of detection (50 copies HIV RNA / ml) depending on what the system? ? Learnt? during his training with thousands of clinical cases. The system? S accuracy in the development and testing was approximately 80%.

easy to use system proved to be a much more accurate prediction of the reaction based genotyping with a life expectancy of rules? a test that is commonly used today to assist in drug selection.

â? We are delighted to introduce this system, which is an important step for us, our research partners around the world and also for the use of bioinformatics in medicine, â? Excited? Said Dr. Brendan Larder, Scientific Chairman of the HIV resistance database Initiative (FEI). â? We believe this approach, a significant difference in a variety of settings and make diseases.â p> ???? RDI has been working on a version of HIV-omitting for use in limited resource environment, where there are fewer treatment options and health care workers do not have access to all information that the original system requirements. The RDIA? The approach could also be potential benefits in other diseases, of course, where resistance may be a problem, there can

Hepatitis be.

FEI is an independent, not-for-profit research group founded in 2002 with a mission to the clinical management of HIV infection through the application of bioinformatics to improve the resistance of HIV and data on treatment outcome. In the eight years since its founding, the IRD has worked with many prominent doctors and scientists worldwide to develop the worldâ? Largest Database of HIV resistance and data on treatment outcomes with data on 70,000 patients in over 15 countries.

Note: HIV-omitting is an experimental system for research only. The predictions of the system are not intended to replace professional medical care and supervision by a qualified physician and the IRD is not responsible for the choice of drugs, patients on treatment or differences between forecasts and patientsa? ? Answers.

For more information, see here. www.hivrdi.org

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