SmartTB system: Prediction of Diagnostic Accuracy using Big Data Analytics and Visualizations from Trained African Giant Pouched Rats for Tuberculosis Detection at SUA APOPO, May 2021 – April 2023

SmartTB system: Prediction of Diagnostic Accuracy using Big Data Analytics and Visualizations from Trained African Giant Pouched Rats for Tuberculosis Detection at SUA APOPO, May 2021 – April 2023

PI: Ms. Joan Jonathan

CO-PI: Dr. Alcardo Alex Barakabitze

Project Summary:

The project uses Artificial Intelligence (AI) technologies to predict patterns associated with a diagnostic accuracy of the African Giant Pouched Rats. The goal is to provide a deeper understanding of the main patterns influencing diagnostic accuracy as well support decision making, improving human health, and scaling up of the diagnostic technology. The project develops an integrated AI models and efficient algorithms in SmartTB system for treatment monitoring.