Current:
Applying Digital and AI Tools for Inter-Collegiate One Health Research Collaborations at Clemson
Digital and AI tools are being applied to address challenges in the following areas:
- Open-source image analysis tools for quantifying tissue characteristics in translational research animal models using radiography, CT, MRI, and ultrasound data
- AI tools for predicting outbreaks and forecasting infectious disease spread using digital trace (e.g., twitter/X) data
- Computational approaches “multi-omics tools” for developing microbial ecosystem therapeutics as an antibiotic replacement for the treatment of infectious diseases
- Electronic platform workbooks for 4H youth education to build vaccine confidence and to explore STEM careers
- Surveillance of animal samples and wastewater for detecting emerging infectious diseases in animals and digital tools for sharing data with other health organizations to more efficiently track and contain outbreaks
H5N1 wastewater testing in cattle farms
The Disease Modeling and Analytics to inform outbreak Prevention, Response, Intervention, Mitigation, and Elimination in South Carolina ( DMA-PRIME project), funded by the Centers for Disease Control and Prevention/Center for Forecasting and Outbreak Analytics, initiated H5N1 wastewater surveillance at Clemson Dairy Farm and with goals to expand to additional farms across South Carolina. Collaborating with the SC State Veterinarian, SC Department of Public Health, Clemson Livestock and Poultry Health, and Clemson Extension, H5N1 monitoring of wastewater and milk samples on cattle farms was initiated to enhance outbreak prevention, response, and mitigation efforts in South Carolina.
