Predicting response to antiretroviral treatment by machine learning: the EuResist project.

Abstract excerpt

For a long time, the clinical management of antiretroviral drug resistance was based on sequence analysis of the HIV genome followed by estimating drug susceptibility from the mutational pattern that was detected. The large number of anti-HIV drugs and HIV drug resistance mutations has prompted the development of computer-aided genotype interpretation systems, typically comprising rules handcrafted by experts via...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Anti-HIV Agents
• Share to Artificial Intelligence