S
Seth M. Cohen
Researcher at University of California, San Diego
Publications - 511
Citations - 39017
Seth M. Cohen is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Neutrino & Medicine. The author has an hindex of 91, co-authored 476 publications receiving 33642 citations. Previous affiliations of Seth M. Cohen include Massachusetts Institute of Technology & École Polytechnique Fédérale de Lausanne.
Papers
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Journal ArticleDOI
Tranexamic acid administration practice in otolaryngology head & neck surgery; international survey.
TL;DR: Tranexamic acid (TXA) is a potent pro-coagulation drug used in many medical situations; however, less is known about its use in otolaryngology head and neck surgery practice as mentioned in this paper .
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A Novel Laryngoscope With an Adjustable Distal Tip
TL;DR: The aim of this work is to create a new laryngoscope to improve anatomic field of view exposure and to allow for adjustable articulation of the lARYngoscope distal tip.
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A Coordination Polymer of Vaska's Complex as a Heterogeneous Catalyst for the Reductive Formation of Enamines from Amides.
TL;DR: In this article , a low-valent metal-organic material constructed from phosphine linkers and Ir(I) nodes is reported, which reversibly binds O2 and catalyzes the reductive formation of enamines from amides.
Patent
Chelateurs multicoordinants derives de pyrone destines a l'imagerie medicale et a la chelation
Seth M. Cohen,David T. Puerta +1 more
TL;DR: The chelates metalliques de l'invention sont utilises comme milieux de contraste dans des applications d'imagerie medicale, telles que l'imaging par resonance magnetique (IRM) as mentioned in this paper.
Journal ArticleDOI
Using Haplotype-Based Artificial Intelligence to Evaluate SARS-CoV-2 Novel Variants and Mutations
Lue Ping Zhao,Seth M. Cohen,Michael Zhao,Margaret M. Madeleine,Thomas H. Payne,Terry P. Lybrand,Daniel E. Geraghty,Keith R. Jerome,Lawrence Corey +8 more
TL;DR: In this article , the use of haplotype-based artificial intelligence to identify novel SARS-COV-2 variants and mutations was investigated, and a cross-sectional study was conducted.