AIDS / Boucher / Madrid / Rockville / Barcelona / Elandsdoorn / Boston / Sydney / Bucharest / Badelona / Vancouver / Hirsch / HAVANA / Cape Town / Frankfurt / London / /
Company
Oracle / Web Resources / Günthard HF / GenPherex Group / Aquila / Thomson / /
Continent
Africa / North America / /
Country
Germany / Romania / Netherlands / Italy / South Africa / Japan / United States / Canada / Australia / United Kingdom / Spain / / /
Facility
Taylor’s Square Private Clinic / Larder BA / National Institute of Health / University Hospital / Westminster Hospital / Union Square / Desmond Tutu HIV Centre / Vincent’s Hospital / University of Brescia / Health Clinic / /
IndustryTerm
HIV therapy / HIV treatment / healthcare settings / prevention of HIV disease / /
MarketIndex
SET 100 / /
MedicalCondition
HIV / Infectious / HIV RNA / MS / Opportunistic Infections / RLS / AIDS / infection / /
National Institute of Health / US Department of Defense / Department of Health and Human Services / /
Person
John Baxter / Vincent Marconi / Emanuel Vlahakis / Joep Lange / Richard Norris / Bonaventura Clotet / Karl Hesse / Andrew D Revell / Julie Metcalf / Brian Agan / Cliff Lane / Bonventura Clotet / Richard Harrigan / Scott Wegner / Andrew Carr / David Cooper / Julio Montaner / Roos Barth / Frank De Wolf / Brian Gazzard / Carl Morrow / Laura Monno / Hugo Tempelman / Maurizio Zazzi / Elisa Lazzari / Jose Gatell / Carlo Torti / Robin Wood / Maria-Jesus Perez-Elias / Victor Babeş / Gaston Picchio / Mark Nelson / Sean Emery / Lidia Ruiz / Anton Pozniak / Sundhiya Mandalia / /
Position
MP / /
Product
PASER / /
ProvinceOrState
Maryland / Mississippi / California / Massachusetts / /
PublishedMedium
Machine Learning / PLoS One / /
Region
sub-Saharan Africa / Eastern Europe / Western Europe / /
Original article The use of computational models to predict response to HIV therapy for clinical cases in Romania Andrew D Revell,1,* Luminiţa Ene,2 Dan Duiculescu,3 Dechao Wang,4 Mike Youle,5 Anton Pozniak,6 Julio Mont