Antimicrobial Resistance – Genomes, Big Data and Emerging Technologies
Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1RQ
Abstract Submission
General Information
Technical advances in recent years continue to expand our ability to collect huge amounts of genomic information on pathogens and their hosts, and a wealth of data is being collected in epidemiological and surveillance studies, including on the socio-economic burden of AMR. With a quantum leap in computer science, researchers have also started to explore novel technological approaches such as machine learning to analyse and predict AMR, together with modelling of the global burden from drug-resistant infection.
To help facilitate this cross-discipline interaction and tool development, 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 diagnostic tools and translation of AMR-data into clinical practice, to join us for this new conference.
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.
Early bird discount: 4 September 2018
Bursary: 18 September 2018
Registration: 30 October 2018
Deadline for submissions: 2 October 2018
Meeting organisers:
Wellcome Genome Campus, Advanced Courses and Scientific Conferences
Speakers:
TBC
