EuResist: Difference between revisions
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[[EuResist]] is an integrated project funded by the [[European Commission]] under the [[Sixth Framework Programme]]. The project aims to improve the treatment of [[HIV]] infection by predicting the effectiveness of combined antiretroviral therapy (cART) through the use of computational models. | [[EuResist]] is an integrated project funded by the [[European Commission]] under the [[Sixth Framework Programme]]. The project aims to improve the treatment of [[HIV]] infection by predicting the effectiveness of combined antiretroviral therapy (cART) through the use of computational models. | ||
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* [[HIV drug resistance]] | * [[HIV drug resistance]] | ||
* [[Machine learning in healthcare]] | * [[Machine learning in healthcare]] | ||
[[Category:HIV/AIDS]] | [[Category:HIV/AIDS]] | ||
[[Category:Medical research]] | [[Category:Medical research]] | ||
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[[Category:Machine learning]] | [[Category:Machine learning]] | ||
[[Category:European Commission projects]] | [[Category:European Commission projects]] | ||
{{medicine-stub}} | {{medicine-stub}} | ||
Latest revision as of 18:40, 21 February 2025
EuResist is an integrated project funded by the European Commission under the Sixth Framework Programme. The project aims to improve the treatment of HIV infection by predicting the effectiveness of combined antiretroviral therapy (cART) through the use of computational models.
Overview[edit]
EuResist is a network-enabled predictive system that uses a database of clinical data from over 30,000 HIV patients across Europe. The system uses this data to predict the effectiveness of different combinations of antiretroviral drugs. This allows doctors to tailor treatment plans to individual patients, increasing the likelihood of successful treatment and reducing the risk of drug resistance.
Methodology[edit]
The EuResist system uses a combination of machine learning algorithms and statistical models to predict the effectiveness of different drug combinations. The system takes into account a variety of factors, including the patient's viral load, CD4 count, and the presence of drug resistance mutations. The system also considers the patient's treatment history and the pharmacokinetic properties of the drugs.
Impact[edit]
EuResist has the potential to significantly improve the treatment of HIV infection. By predicting the effectiveness of different drug combinations, the system can help doctors to select the most effective treatment plan for each individual patient. This can increase the likelihood of successful treatment, reduce the risk of drug resistance, and improve the patient's quality of life.
See also[edit]
