Dettaglio Progetto Finanziato

Lombardy partner:

– Alessandra Bandera, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico

Understanding of the risk and direction of antimicrobial resistance (AMR) spread through food-borne routes, and development of interventions to limit the spread of AMR within and between humans, animals, environment and food is a significant challenge, requiring a 360-degree investigation of a complex, interconnected system of humans, animals, environment on one hand and geographical, societal and climaterelated variables on the other. This project will develop a monitoring system using AI and advanced tech to detect AMR spread in the interconnected human-animal-environment-food system (‘One Health’). First, we will analyse the heterogeneous corpus of historical AMR-related public data. This will improve our understanding of what data (monitorable biomarkers) should be collected to identify the conditions leading to higher risk of AMR spread. This knowledge will be used to guide a large-scale multi-country sampling collection campaign of a large amount of heterogeneous and interconnected data from farms, wet-markets, food, environment. Data will include results of microbiological analysis, whole-genome sequencing, metagenomics, phenotyping, documentation on-farm management practices, environmental sensor data (temperature, humidity, etc). An innovative AI-powered data mining pipeline will be used to unravel previously unknown correlations between observable animal, human, environment, food variables and a core set of resistome, microbiome, microbial genomics variables, highlighting new routes for surveillance deployable in low-to-high income countries.