AI-Driven Diagnostic Tool for Mastitis Detection in Dairy Cows Using Imaging Flow Cytometry: Revolutionizing Animal Health Assessment and Reducing Antimicrobial
Supervisors:
Dr Giuseppe Di Caprio, Biomedical Engineering, University of Strathclyde
Prof Massimo Vassalli, James Watt School of Engineering, University of Glasgow
Dr Lorenzo Viora, School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow
Summary:
This PhD project aims to develop an innovative AI-driven diagnostic tool for assessing cow health and diagnosing mastitis using imaging flow cytometry. The project seeks to transform animal health assessment by creating a system that rapidly and accurately analyses milk samples, identifying pathogens and other health indicators, which will contribute to a significant reduction in antimicrobial use on dairy farms. The student will play a crucial role in advancing this technology, gaining hands-on experience with cutting-edge techniques such as microfluidic fabrication, ultrasonic force fields for cell spatial confinement, and AI-based data analysis. They will also develop strong skills in microbiology, dairy science, and disease diagnostics. Practical experience in managing large-scale data libraries and working with on-farm diagnostic tools will further enhance their expertise.
Additionally, the project will provide opportunities for interdisciplinary collaboration, improving their communication and project management skills. The student will be encouraged to present their research at conferences and publish three to four papers in peer-reviewed journals, helping them build a solid professional network and establish a strong reputation in the field. By the end of the program, they will be well-prepared for careers in academia, industry, or applied research, with a comprehensive skill set highly valued in the job market.