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Article

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1.

Bioinformatics (Oxford, England) - 3 Jun 2024

Di Teodoro Giulia, Pirkl Martin, Incardona Francesca, Vicenti Ilaria, Sönnerborg Anders, Kaiser Rolf, Palagi Laura, Zazzi Maurizio, Lengauer Thomas

Abstract excerpt

MOTIVATION: In predicting HIV therapy outcomes, a critical clinical question is whether using historical information can enhance predictive capabilities compared with current or latest available data analysis. This study analyses whether historical knowledge, which includes viral mutations detected in all genotypic tests before therapy, their temporal occurrence, and concomitant viral load measurements, can bring...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38775719
DOI: 10.1093/bioinformatics/btae327
PMCID: PMC11153833

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