Registration Open: Antimicrobial Resistance: Genomes, Big Data and Emerging Technologies

Antimicrobial Resistance: Genomes, Big Data and Emerging Technologies Meeting 27 - 29 November 2018

Registration is now open for Antimicrobial Resistance: Genomes, Big Data and Emerging Technologies. Antimicrobial resistance has become a major challenge in our globalised world and tackling it will take the combined resources and effort of researchers working across different disciplines.

This meeting will highlight the importance of Big Data and genomics in the fight against AMR. It will showcase recent advances in the rapidly emerging field of machine learning to predict AMR, approaches to monitor and evaluate the global burden of disease, novel technologies for the diagnosis of drug-resistant infections, and the use of pathogen genomics to address critical questions relating to surveillance, epidemiology, transmission and treatment of drug-resistant infections.                 

We would like to invite basic researchers, computer scientists, clinicians and policy makers interested in pathogen and human/host genomics, machine learning, development of novel diagnostics tools and translation of AMR data into clinical practice.                   

Register for Early Bird discount by 4 September.

For more information, please visit our website.  

To register, please visit the registration page

A limited number of bursaries are available for PhD students to attend the meeting. 

Important Dates

Early Bird Deadline: 4 September 2018

Bursary Deadline: 18 September 2018

Abstract Deadline: 2 October 2018

Registration Deadline: 30 October 2018

Scientific sessions include:

• Machine learning and prediction of antimicrobial resistance
• Genomic surveillance and epidemiology: its role in detection, tracking and control of antimicrobial resistance
• Genomic evidence that informs the debate on ‘farm to fork’ transmission of resistant pathogens
• Translating bacterial genomics into routine clinical practice   
• Global burden of disease from drug-resistant infections: monitoring and evaluation
• Emerging technologies for the generation and use of multiplex data for decision support

Scientific Programme Committee

Sharon Peacock London School of Hygiene and Tropical Medicine, UK

Iruka Okeke University of Ibadan, Nigeria

Susie Dunachie Nuffield Department of Medicine, UK

Till Bachmann University of Edinburgh, UK

Julian Parkhill Wellcome Sanger Institute, UK

Confirmed Conference Speakers

Daniela Bezdan Weill Cornell Medicine, USA

Debby Bogaert University of Edinburgh, UK

Annie Browne University of Oxford, UK

James Davies Argonne National Laboratory, USA

Zamin Iqbal EMBL-EBI, UK

Claire Jenkins Public Health England, UK

Julie Jeukens Laval University, Canada

Gwyn Jones RUMA, UK

Lance Price George Washington University, USA

Timothy Sweeney Inflammatix, USA

Nicholas Thomson Wellcome Sanger Institute, UK