Empowering infectious disease research and control through non/low-invasive animal monitoring technologies capturing time series of behavior + physiology + molecular events.
We offer advanced experimental and analytical capabilities to strengthen infectious disease studies and countermeasure development (e.g. vaccines, therapeutics) in farm animals. Our expertise combines controlled animal infection models (pig, poultry, calves, sheep and others) with multimodal sensor technologies, low-invasive micro-sampling, multiplex molecular assays, time-series analytics, and machine learning.
We focus on infectious-disease–associated behavioural and pathophysiological dynamics and support consortia through:
• Multimodal time-series integration of behavioural, physiological, and molecular signals.
• Machine learning and AI methods for early disease detection, classification, anomaly detection, and disease progression modelling.
• Method development and validation in controlled experimental infection models, ensuring biological interpretability and robustness.
• Design and implementation of automated sensor data pipelines, including real-time data acquisition, processing, feature extraction, and quality control.
Our contribution aligns directly with Topic 2 and OO7-2, OO7-3, OO3-3, and OO5-4, by enabling high-resolution monitoring of infection dynamics, improved efficacy and safety assessment of interventions, enhanced surveillance tools, and insights into animal resilience.
In addition, our work supports OO9-2 and OO9-4 by generating evidence to assess socio-economic implications and to integrate disease mitigation strategies with animal welfare considerations in sustainable production systems.
We aim to integrate our non/low-invasive tools into consortium-led infection studies to deliver deeper biological insight, more sensitive monitoring, and scalable decision-support approaches for laboratory and field applications.
We welcome collaboration with teams working on:
• Animal infectious diseases and countermeasures
• Sensor, imaging, or monitoring technologies
• Data science, modelling, or decision-support tools in animal health

Wageningen Bioveterinary Research (WBVR), part of Wageningen Research (WR), is the Netherlands’ leading veterinary research institute combining infectious disease biology with sensor technologies, low-invasive micro-sampling, multiplex molecular assays, time-series analytics, machine learning, bioinformatics, and epidemiology.
WBVR operates state-of-the-art facilities for controlled animal studies under high biosafety conditions (up to BSL-3), enabling investigation of host–pathogen interactions at behavioural, physiological, and molecular levels. Our in-house expertise spans virology, bacteriology, experimental animal models, sensor technology, bioinformatics, epidemiology, and AI-driven analytics.
This multidisciplinary setup allows us to translate complex biological data into robust, scalable monitoring frameworks and decision-support tools relevant for infectious disease prevention and control. WBVR has extensive experience in international public–private consortia and contributes experimental validation platforms, data-driven method development, and scientific coordination bridging research, technology development, and practical implementation.