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Article

Computational models for prediction of response to antiretroviral therapies.

AIDS reviews - 1 Jan 2000

Prosperi Mattia C F, De Luca Andrea

Abstract excerpt

This review describes the state-of-the-art in statistical, machine learning, and expert-advised computational methods for the evaluation and optimization of combination antiretroviral therapy, with respect to the virologic outcomes in HIV-1-infected patients. Currently employed methodologies are based on the paradigm for which mutations present in patient viral genotypes, selected either by treatment or already...

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PMID: 22627610

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