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Dechao Wang

Showing results (41-50 of 49) with videos related to

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The Journal of Antimicrobial Chemotherapy|June 23, 2016
An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotypeAndrew D Revell, Dechao Wang, Robin Wood, et al.
Southern African Journal of HIV Medicine|March 24, 2018
Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South AfricaAndrew Revell, Paul Khabo, Lotty Ledwaba, et al.
Artificial Intelligence in Medicine|June 16, 2009
A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapyDechao Wang, Brendan Larder, Andrew Revell, et al.
Journal of Acquired Immune Deficiency Syndromes (1999)|March 14, 2019
Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological ResponseAndrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, et al.
Antiviral Therapy|May 17, 2007
The development of artificial neural networks to predict virological response to combination HIV therapyBrendan Larder, Dechao Wang, Andrew Revell, et al.
AIDS Patient Care and Stds|January 11, 2011
Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experienceBrendan A Larder, Andrew Revell, Joann M Mican, et al.
The Journal of Antimicrobial Chemotherapy|June 12, 2018
2018 update to the HIV-TRePS system: the development of new computational models to predict HIV treatment outcomes, with or without a genotype, with enhanced usability for low-income settingsAndrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, et al.
The Journal of Antimicrobial Chemotherapy|April 1, 2021
2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settingsAndrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, et al.
The Journal of Antimicrobial Chemotherapy|November 27, 2013
An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomesAndrew D Revell, Dechao Wang, Robin Wood, et al.
Pageof 5

Showing results (41-50 of 49) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 49 results.
The Journal of Antimicrobial Chemotherapy|June 23, 2016
An update to the HIV-TRePS system: the development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotypeAndrew D Revell, Dechao Wang, Robin Wood, et al.
Southern African Journal of HIV Medicine|March 24, 2018
Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South AfricaAndrew Revell, Paul Khabo, Lotty Ledwaba, et al.
Artificial Intelligence in Medicine|June 16, 2009
A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapyDechao Wang, Brendan Larder, Andrew Revell, et al.
Journal of Acquired Immune Deficiency Syndromes (1999)|March 14, 2019
Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological ResponseAndrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, et al.
Antiviral Therapy|May 17, 2007
The development of artificial neural networks to predict virological response to combination HIV therapyBrendan Larder, Dechao Wang, Andrew Revell, et al.
AIDS Patient Care and Stds|January 11, 2011
Clinical evaluation of the potential utility of computational modeling as an HIV treatment selection tool by physicians with considerable HIV experienceBrendan A Larder, Andrew Revell, Joann M Mican, et al.
The Journal of Antimicrobial Chemotherapy|June 12, 2018
2018 update to the HIV-TRePS system: the development of new computational models to predict HIV treatment outcomes, with or without a genotype, with enhanced usability for low-income settingsAndrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, et al.
The Journal of Antimicrobial Chemotherapy|April 1, 2021
2021 update to HIV-TRePS: a highly flexible and accurate system for the prediction of treatment response from incomplete baseline information in different healthcare settingsAndrew D Revell, Dechao Wang, Maria-Jesus Perez-Elias, et al.
The Journal of Antimicrobial Chemotherapy|November 27, 2013
An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomesAndrew D Revell, Dechao Wang, Robin Wood, et al.
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