G
Gideon Koren
Researcher at Ariel University
Publications - 2007
Citations - 88165
Gideon Koren is an academic researcher from Ariel University. The author has contributed to research in topics: Pregnancy & Population. The author has an hindex of 129, co-authored 1994 publications receiving 81718 citations. Previous affiliations of Gideon Koren include McGill University Health Centre & University of Western Ontario.
Papers
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Journal ArticleDOI
Patch testing for the diagnosis of anticonvulsant hypersensitivity syndrome: a systematic review.
Abdelbaset A. Elzagallaai,Sandra R. Knowles,Michael J. Rieder,Michael J. Rieder,John R. Bend,Neil H. Shear,Neil H. Shear,Gideon Koren +7 more
TL;DR: Although patch testing may be a useful diagnostic test for AHS, accurate determination of its sensitivity and specificity is yet to be achievable due to the lack of a gold standard test against which the performance of patch testing can be measured.
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Probable Efficacy of High-Dose Salicylates in Reducing Coronary Involvement in Kawasaki Disease
TL;DR: It is suggested that despite the difficulty in achieving therapeutic serum concentrations of salicylate during the febrile phase of Kawasaki disease with a dose as high as 100 mg/kg/day, this dose is potentially capable of preventing the associated coronary disease.
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The Fetal Safety of Statins: A Systematic Review and Meta-Analysis
Judith Zarek,Gideon Koren +1 more
TL;DR: A large number of potentially beneficial uses of statins in pregnant women have prompted a new evaluation of the risk-benefit ratio of these agents in pregnancy, and a meta-analysis of controlled observational studies has failed to corroborate this.
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In vitro cytoprotective activity of squalene on a bone marrow versus neuroblastoma model of cisplatin-induced toxicity. implications in cancer chemotherapy.
TL;DR: It is suggested that squalene has a selective in vitro cytoprotective effect on BM-derived haematopoietic stem cells that is equipotent to GSH.
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Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections
Mathew Stracy,Olga Snitser,Idan Yelin,Yara Amer,Miriam Parizade,Rachel Katz,Galit Rimler,Tamar Wolf,Esma Herzel,Gideon Koren,Jacob Kuint,Betsy Foxman,Gabriel Chodick,Varda Shalev,Roy Kishony +14 more
TL;DR: It is found that treatment-induced emergence of resistance could be predicted and minimized at the individual-patient level and machine learning–personalized antibiotic recommendations were developed, offering a means to reduce the emergence and spread of resistant pathogens.