Antimicrobial Resistance Tracker (AMR)
Description
The goal of the project is to strengthen surveillance of antimicrobial resistance in animals and food products, with a focus on international travelers.
The project will explore (and quantify the uncertainty of) using AI-based text and image mining techniques to extract data on the prevalence of antimicrobial resistance from thousands of survey documents.
Key data
Projectlead
Deputy Projectlead
Co-Projectlead
Prof. Dr. Thomas Van Boeckel (Universität Zürich)
Project partners
Universität Zürich
Project status
ongoing, started 08/2025
Institute/Centre
Centre for Artificial Intelligence (CAI)
Funding partner
Digitalisierungsinitiative der Zürcher Hochschulen DIZH
Project budget
301'720 CHF
