Antimicrobial Resistance – Genomes, Big Data and Emerging Technologies
Wellcome Genome Campus, United Kingdom
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Our 4th conference in this series will bring together basic researchers, clinicians, computer scientists, and policymakers interested in pathogen genomics, epidemiology, surveillance, and machine learning to explore the recent advances and current challenges of the field.
This year’s programme will focus on genomic evidence and how to implement it in clinical practice and policy for AMR control. The meeting will highlight the advances in machine learning, AI and computational tools to predict AMR. We will also discuss how to build an international genomics infrastructure to tackle AMR and emerging lessons from other global public health issues.
This conference will be a hybrid meeting – with onsite or virtual attendance. In addition to invited talks, the programme will include short oral presentations selected from abstracts, posters, poster pitches and networking breaks for further discussion.
Deadline for submissions: 16 January 2024
Wellcome Connecting Science
- Kevin Outterson – CARB-X/Boston University, USA
- Deborah Williamson – UK Health Security Agency, UK