‘Big Data’ Symposium - combatting infectious disease and AMR
Organised by The Bloomsbury SET.
This is the final event in the Symposium series and will showcase our projects using big data and machine learning to tackle infectious diseases and AMR challenges.
The provisional programme for the event is:
Introduction to the Bloomsbury SET programme
Dr Emma Tomlinson, Chair of The Bloomsbury SET Steering Group and Head of Research Development, RVC
Accelerating pandemic response through global data sharing
Dr Laura Merson, Associate Director, IDDO
Microbiome markers for early detection of bovine respiratory disease
Professor Luca Guardabassi, Professor in One Health AMR (UCPH) and part-time Professor of Veterinary Bacteriology (RVC)
Characterising new promising transmission-blocking antimalarials through phenotypic imaging and machine learning analysis
Dr Michael Delves, Assistant Professor of Parasitology, LSHTM
Machine learning for improved monitoring of antimicrobial resistance in companion animal practice
Dr David Brodbelt, Professor of Evidence Based Veterinary Medicine, RVC
Building automated genomics data curation and collection pipeline
Dr Jody Phelan, Assistant Professor, LSHTM
Safeguarding treatment outcomes for neglected tropical diseases
Dr Martin Walker, Lecturer in Epidemiology, RVC
Pannel discussion and audience Q&A
For more information and to register, visit The Bloomsbury SET's website here.