Ramy Arnaout

TL;DR: A high-throughput 3C approach, 3C-Carbon Copy (5C), that employs microarrays or quantitative DNA sequencing using 454-technology as detection methods that should be widely applicable for large-scale mapping of cis- and trans- interaction networks of genomic elements and for the study of higher-order chromosome structure.

TL;DR: The landscape of overutilization varies systematically by clinical setting (initial vs. repeat), test volume, and measurement criteria, and underutilization is also widespread, but understudied.

TL;DR: A machine-learning technique is used to teach a computer to recognize different types of video and still images produced by echocardiogram tests, and it is shown that the model could correctly classify what heart anatomy was shown in videos with 98% accuracy.

TL;DR: This work applies high-throughput sequencing to the V3 loop-coding region of env in samples collected from 4 chronically HIV-infected subjects in whom CCR5 antagonist (vicriviroc [VVC]) therapy failed, and results show greater V3 diversity was observed post-selection.

TL;DR: Deep sequencing is used to characterize the diversity of the heavy-chain CDR3 region, the most important contributor to antibody binding specificity, and the constituent V, D, and J segments that comprise it and finds that, during the stepwise D-J and then V-DJ recombination events, the choice of D andJ segments exert some bias on each other; however, it is found that the V segment is essentially independent of both.