Andrea Capobianco Dondona
Papers
1
Total Citations
3
H-Index
1
About
Andrea Capobianco Dondona is a leading researcher in veterinary epidemiology and precision livestock farming, with a focus on leveraging artificial intelligence to improve animal health surveillance. Her major contribution lies in developing automated systems for disease detection in abattoirs, particularly for porcine pleuropneumonia. In her landmark field trial, she demonstrated that an AI-based system can reliably detect and score pleurisy lesions in slaughtered pigs—lesions caused by *Actinobacillus pleuropneumoniae* that remain visible at postmortem inspection. This work, published in 2025 and already garnering 3 citations, bridges veterinary pathology and machine learning, offering a scalable, objective tool for large-scale health monitoring. By automating what was once a manual, subjective process, her research enables more efficient surveillance of respiratory diseases in swine, directly supporting animal welfare and food safety. Capobianco Dondona’s work is pivotal for the future of abattoir-based epidemiology, showcasing how AI can transform routine inspections into powerful data streams for disease control. Her innovative approach positions her as a key figure in the intersection of veterinary science and digital technology.
Research Focus
Key Achievements
Top Papers
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