Conference report of the 2024 Antimicrobial Resistance Meeting
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...
| Principais autores: | , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Springer Nature [academic journals on nature.com]
2024
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| _version_ | 1826315497529933824 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Chong, CE |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-12-09T03:26:43Z |
| format | Journal article |
| id | oxford-uuid:be23d1ba-a432-4d60-83a4-323a8298c000 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-12-09T03:26:43Z |
| publishDate | 2024 |
| publisher | Springer Nature [academic journals on nature.com] |
| record_format | dspace |
| spelling | oxford-uuid:be23d1ba-a432-4d60-83a4-323a8298c0002024-11-29T20:12:22ZConference report of the 2024 Antimicrobial Resistance MeetingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:be23d1ba-a432-4d60-83a4-323a8298c000EnglishJisc Publications RouterSpringer Nature [academic journals on nature.com]2024Chong, CEPham, TMCarey, MEWee, BATaouk, MLFavieres, JFMoore, CEDyson, ZALim, CBrown, CLWilliamson, DOpatowski, LOutterson, KMukiri, KMSherry, NLEssack, SYBrisse, SGrad, YHBaker, KSThe 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. |
| spellingShingle | 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 Conference report of the 2024 Antimicrobial Resistance Meeting |
| title | Conference report of the 2024 Antimicrobial Resistance Meeting |
| title_full | Conference report of the 2024 Antimicrobial Resistance Meeting |
| title_fullStr | Conference report of the 2024 Antimicrobial Resistance Meeting |
| title_full_unstemmed | Conference report of the 2024 Antimicrobial Resistance Meeting |
| title_short | Conference report of the 2024 Antimicrobial Resistance Meeting |
| title_sort | conference report of the 2024 antimicrobial resistance meeting |
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