Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 225,058,994 papers from all fields of science
Search
Sign In
Create Free Account
EuResist
EuResist is an international project designed to improve the treatment of HIV patients by developing a computerized system that can recommend optimal…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
2 relations
Logistic regression
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy
Amit Gruber
,
C. Yanover
,
+4 authors
Yaara Goldschmidt
International Conference on Artificial…
2018
Corpus ID: 4867576
.
2016
2016
Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical data
M. Prosperi
,
A. Pironti
,
F. Incardona
,
G. Tradigo
,
M. Zazzi
ACM International Conference on Bioinformatics…
2016
Corpus ID: 15168646
Optimization of combination antiretroviral therapy (CART) for treatment of human immunodeficiency virus (HIV) infection usually…
Expand
2013
2013
Additional Documentation HIV superinfection is rare and does not contribute to drug resistance in the EUResist/Virolab cohort
Van de Vijver
2013
Corpus ID: 89608597
Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or…
Expand
2008
2008
The EuResist Approach for Predicting Response to Anti HIV-1 Therapy
A. Altmann
,
M. Rosen-Zvi
,
+10 authors
Thomas Lengauer
2008
Corpus ID: 58191679
2007
2007
Predicting Response to Antiretroviral Treatments in HIV Patients - the EuResist Project
Penelope L Bidgood
,
J. Denholm-Price
,
M. Fielder
,
A. Petróczi
,
R. Thompson
2007
Corpus ID: 59002155
The EuResist project, funded under EC FP 6, aims to develop a European integrated system for clinical management of…
Expand
2007
2007
EuResist: exploration of multiple modeling techniques for prediction of response to treatment
Zazzi Maurizio
,
A. Ehud
,
+22 authors
G. Ulivi
2007
Corpus ID: 64021602
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE