Now showing items 1-3 of 3

    • An Augmented SMS Intervention to Improve Access to Antenatal CD4 Testing and ART Initiation in HIV-Infected Pregnant Women: A Cluster Randomized Trial 

      Dryden-Peterson, Scott; Bennett, Kara; Hughes, Michael D.; Veres, Adrian; John, Oaitse; Pradhananga, Rosina; Boyer, Matthew; Brown, Carolyn; Sakyi, Bright; van Widenfelt, Erik; Keapoletswe, Koona; Mine, Madisa; Moyo, Sikhulile; Asmelash, Aida; Siedner, Mark; Mmalane, Mompati; Shapiro, Roger L.; Lockman, Shahin (Public Library of Science, 2015)
      Background: Less than one-third of HIV-infected pregnant women eligible for combination antiretroviral therapy (ART) globally initiate treatment prior to delivery, with lack of access to timely CD4 results being a principal ...
    • Quantitative Analysis of Culture Using Millions of Digitized Books 

      Michel, Jean-Baptiste; Shen, Yuan Kui; Aiden, Aviva Presser; Veres, Adrian; Gray, Matthew K.; Google Books Team; Pickett, Joseph; Hoiberg, Dale; Clancy, Dan; Norvig, Peter; Orwant, Jon; Pinker, Steven; Nowak, Martin A.; Aiden, Erez Lieberman (American Association for the Advancement of Science, 2011)
      We constructed a corpus of digitized texts containing about 4% of all books ever printed. Analysis of this corpus enables us to investigate cultural trends quantitatively. We survey the vast terrain of ‘culturomics,’ ...
    • A TALEN Genome-Editing System for Generating Human Stem Cell-Based Disease Models 

      Ding, Qiurong; Lee, Youn-Kyoung; Schaefer, Esperance Anne Kreek; Peters, Derek Tilghman; Veres, Adrian; Kim, Kevin; Kuperwasser, Nicolas; Motola, Daniel L; Meissner, Torsten B; Hendriks, William; Trevisan, Marta; Gupta, Rajat; Moisan, Annie; Banks, Eric; Friesen, Max; Schinzel, Robert T.; Xia, Fang; Tang, Alexander; Xia, Yulei; Figueroa, Emmanuel; Wann, Amy; Ahfeldt, Tim; Daheron, Laurence Marie; Zhang, Feng; Rubin, Lee; Peng, Lee F; Chung, Raymond Taeyong; Musunuru, Kiran; Cowan, Chad A. (Elsevier BV, 2013)
      Transcription activator-like effector nucleases (TALENs) are a new class of engineered nucleases that are easier to design to cleave at desired sites in a genome than previous types of nucleases. We report here the use of ...