CAGE-TB: Automated smartphone-based cough audio classification for rapid tuberculosis triage testing
Partner: Stellenbosch University, Stichting Amsterdam Institute for Global Health and Development, Makerere University
Project duration: 10/2021 – 08/2024
Funding: Supported by the European and Developing Countries Clinical Trials Partnership (EDCTP)
Methods: App Development
In the global context, tuberculosis remains one of the deadliest diseases. Hereby, the effectiveness of possible treatment is highly dependent on timely detection. However, especially in low-resource settings, the burden of tuberculosis is exacerbated by late detection.
The goal of CAGE-TB is to utilize the chronic coughing of patients who suffer from tuberculosis. An algorithm will be built and embedded in a mobile app, which will be capable of analyzing the coughing sound to classify tuberculosis.
The DHRG will be responsible for designing, developing, and maintaining a user-centered mobile app within this context.