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

M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi… - Intervirology, 2012 - karger.com
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 …
被引用次数：69 相关文章

Predicting response to antiretroviral treatment by machine learning: The euresist project

M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi… - …, 2012 - research.ibm.com
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 …

Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project.

M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi… - …, 2012 - search.ebscohost.com
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 …

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

M Zazzi, F Incardona, M ROSEN ZVI, M Prosperi… - …, 2012 - usiena-air.unisi.it
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 …

Predicting response to antiretroviral treatment by machine learning: The euresist project

M Zazzi, F Incardona, M Rosen-Zvi… - …, 2012 - research.manchester.ac.uk
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 …

Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project

M Zazzi, F Incardona, M Rosen-zvi, M Prosperi… - …, 2012 - search.proquest.com
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 …

Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project

M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi… - Intervirology, 2012 - karger.com
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 …

Predicting Response to Antiretroviral Treatment by Machine Learning: the EuResist Project

M Zazzi, F Incardona, M Rosen-Zvi, M Prosperi… - Intervirology, 2012 - pure.mpg.de
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 …
[PDF] archive.org

[PDF][PDF] Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project

M Zazzi, F Incardona, T Lengauer, E Schülter - Intervirology, 2012 - scholar.archive.org
Background The impressive advances in antiretroviral therapy notwithstanding, handling
HIV drug resistance issues remains a challenge in the clinical management of many HIV …

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

M Zazzi, F Incardona, M Rosen-Zvi… - …, 2012 - pubmed.ncbi.nlm.nih.gov
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 …