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Conference report of the 2024 Antimicrobial Resistance Meeting.

Chong, CE; Pham, TM; Carey, ME; Wee, BA; Taouk, ML; Favieres, JF; Moore, CE; Dyson, ZA; Lim, C; Brown, CL; et al. Chong, CE; Pham, TM; Carey, ME; Wee, BA; Taouk, ML; Favieres, JF; Moore, CE; Dyson, ZA; Lim, C; Brown, CL; Williamson, D; Opatowski, L; Outterson, K; Mukiri, KM; Sherry, NL; Essack, SY; Brisse, S; Grad, YH; Baker, KS (2024) Conference report of the 2024 Antimicrobial Resistance Meeting. NPJ Antimicrob Resist, 2 (1). p. 43. ISSN 2731-8745 https://doi.org/10.1038/s44259-024-00058-z
SGUL Authors: Moore, Catrin Elisabeth

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Abstract

The Antimicrobial Resistance - Genomes, Big Data and Emerging Technologies Conference explored key topics including measuring the burden of AMR, global public health pathogen genomics infrastructure and surveillance, translation and implementation of genomics for AMR control, use of techniques such as wastewater surveillance, mathematical and statistical modelling, and Artificial Intelligence (AI) to aid understanding of AMR. This report describes research presented during plenary sessions and discussions, keynote presentations and posters.

Item Type: Article
Additional Information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2024
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: NPJ Antimicrob Resist
ISSN: 2731-8745
Language: eng
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
UNSPECIFIEDWellcome Trusthttp://dx.doi.org/10.13039/100004440
PubMed ID: 39843763
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/117101
Publisher's version: https://doi.org/10.1038/s44259-024-00058-z

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