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Gabrielle Williams

Researcher at University of Sydney

Publications -  51
Citations -  4888

Gabrielle Williams is an academic researcher from University of Sydney. The author has contributed to research in topics: Medicine & Randomized controlled trial. The author has an hindex of 22, co-authored 47 publications receiving 4448 citations. Previous affiliations of Gabrielle Williams include Ministry of Health (New South Wales) & Human Genome Sequencing Center.

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Journal ArticleDOI

The DNA sequence of the human X chromosome

Mark T. Ross, +282 more
- 17 Mar 2005 - 
TL;DR: This analysis illustrates the autosomal origin of the mammalian sex chromosomes, the stepwise process that led to the progressive loss of recombination between X and Y, and the extent of subsequent degradation of the Y chromosome.
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Cranberries for preventing urinary tract infections

TL;DR: On the basis of the available evidence, cranberry juice cannot be recommended for the prevention of urinary tract infections in susceptible populations and other cranberry products such as cranberry capsules may be more acceptable.
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Cranberries for preventing urinary tract infections

TL;DR: Cranberry products have been used widely for several decades for the prevention and treatment of urinary tract infections (UTIs) as mentioned in this paper, and cranberry juice has been shown to reduce the number of symptomatic UTIs in susceptible populations.
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Antibiotic prophylaxis and recurrent urinary tract infection in children.

TL;DR: Long-term, low-dose trimethoprim-sulfamethoxazole therapy was associated with a decreased number of urinary tract infections in predisposed children, and the treatment effect appeared to be consistent but modest across subgroups.
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The accuracy of clinical symptoms and signs for the diagnosis of serious bacterial infection in young febrile children: prospective cohort study of 15 781 febrile illnesses

TL;DR: A clinical diagnostic model could improve decision making by increasing sensitivity for detecting serious bacterial infection, thereby improving early treatment, and develop and test a multivariable model to distinguish serious bacterial infections from self limiting non-bacterial illnesses.