Antimicrobial resistance is a critical challenge for human and animal health that requires a coordinated endeavour across the disciplines of clinical and data science. The project is being conducted in partnership with the Small Animal Veterinary Surveillance Network (SAVSNET) and utilises their dataset from companion animals.
Working with the Artificial Intelligence and Human Systems Group at Durham University, we're seeking to integrate novel machine learning strategies and distil them into the emerging field of veterinary bioinformatics.
The project seeks to recognise the features and signals that might be available in the clinical records data from large companion animals. The aim is to develop and apply cutting-edge machine-learning methodologies to derive important insights for farm animal health, treatment and disease prevention.
Antimicrobials are an invaluable tool, however the return to a pre-antimicrobial world is a not-so-distant reality. I hope this project can increase awareness and reduce unnecessary prescriptions.
Sean Farrell, PhD postgraduate researcher