Conference report of the 2024 Antimicrobial Resistance Meeting

Charlotte E. Chong; Thi Mui Pham; Megan E. Carey; Bryan A. Wee; Mona L. Taouk; Javier F. Favieres; Catrin E. Moore; Zoe A. Dyson; Cherry Lim; Connor L. Brown; Deborah Williamson; Lulla Opatowski; Kevin Outterson; Karyn M. Mukiri; Norelle L. Sherry; Sabiha Y. Essack; Sylvain Brisse; Yonatan H. Grad; Kate S. Baker

doi:10.1038/s44259-024-00058-z

Conference report of the 2024 Antimicrobial Resistance Meeting

Charlotte E. Chong, Thi Mui Pham, Megan E. Carey, Bryan A. Wee, Mona L. Taouk, Javier F. Favieres, Catrin E. Moore, Zoe A. Dyson, Cherry Lim, Connor L. Brown, Deborah Williamson, Lulla Opatowski, Kevin Outterson, Karyn M. Mukiri, Norelle L. Sherry, Sabiha Y. Essack, Sylvain Brisse, Yonatan H. Grad, Kate S. Baker^*

^*Corresponding author for this work

School of Medicine

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	43
Number of pages	6
Journal	npj Antimicrobials and Resistance
Volume	2
Early online date	29 Nov 2024
DOIs	https://doi.org/10.1038/s44259-024-00058-z
Publication status	E-pub ahead of print - 29 Nov 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s44259-024-00058-zLicence: CC BY

Chong-2024-Conference-report-of-the-2024-ARM-2-43-CCBY
Copyright © The Author(s) 2024. 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/.
Final published version, 389 KBLicence: CC BY

Cite this

Chong, C. E., Pham, T. M., Carey, M. E., Wee, B. A., Taouk, M. L., Favieres, J. F., Moore, C. E., Dyson, Z. A., Lim, C., Brown, C. L., Williamson, D., Opatowski, L., Outterson, K., Mukiri, K. M., Sherry, N. L., Essack, S. Y., Brisse, S., Grad, Y. H., & Baker, K. S. (2024). Conference report of the 2024 Antimicrobial Resistance Meeting. npj Antimicrobials and Resistance, 2, Article 43. Advance online publication. https://doi.org/10.1038/s44259-024-00058-z

@article{d83f0828d3ac40538a08219c5d6515d2,

title = "Conference report of the 2024 Antimicrobial Resistance Meeting",

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.",

author = "Chong, {Charlotte E.} and Pham, {Thi Mui} and Carey, {Megan E.} and Wee, {Bryan A.} and Taouk, {Mona L.} and Favieres, {Javier F.} and Moore, {Catrin E.} and Dyson, {Zoe A.} and Cherry Lim and Brown, {Connor L.} and Deborah Williamson and Lulla Opatowski and Kevin Outterson and Mukiri, {Karyn M.} and Sherry, {Norelle L.} and Essack, {Sabiha Y.} and Sylvain Brisse and Grad, {Yonatan H.} and Baker, {Kate S.}",

note = "Funding: This conference was funded and hosted by Wellcome Connecting Science Learning and Training Programme. ",

year = "2024",

month = nov,

day = "29",

doi = "10.1038/s44259-024-00058-z",

language = "English",

volume = "2",

journal = "npj Antimicrobials and Resistance",

issn = "2731-8745",

publisher = "Nature Publishing Group UK",

}

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 Antimicrobials and Resistance, vol. 2, 43. https://doi.org/10.1038/s44259-024-00058-z

TY - JOUR

T1 - Conference report of the 2024 Antimicrobial Resistance Meeting

AU - Chong, Charlotte E.

AU - Pham, Thi Mui

AU - Carey, Megan E.

AU - Wee, Bryan A.

AU - Taouk, Mona L.

AU - Favieres, Javier F.

AU - Moore, Catrin E.

AU - Dyson, Zoe A.

AU - Lim, Cherry

AU - Brown, Connor L.

AU - Williamson, Deborah

AU - Opatowski, Lulla

AU - Outterson, Kevin

AU - Mukiri, Karyn M.

AU - Sherry, Norelle L.

AU - Essack, Sabiha Y.

AU - Brisse, Sylvain

AU - Grad, Yonatan H.

AU - Baker, Kate S.

N1 - Funding: This conference was funded and hosted by Wellcome Connecting Science Learning and Training Programme.

PY - 2024/11/29

Y1 - 2024/11/29

N2 - 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.

AB - 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.

U2 - 10.1038/s44259-024-00058-z

DO - 10.1038/s44259-024-00058-z

M3 - Article

SN - 2731-8745

VL - 2

JO - npj Antimicrobials and Resistance

JF - npj Antimicrobials and Resistance

M1 - 43

ER -

Conference report of the 2024 Antimicrobial Resistance Meeting

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this