Using AI for TB Classification Using Wearable Data

Researchers from Department of Medicine – Drs. Thomas Hawn, professor (Allergy and Infectious Diseases) and David Horne, associate professor (Pulmonary, Critical Care and Sleep Medicine) – and Dr. Shwetak Patel (Allen School of Computer Science & Engineering) received a grant for a pilot study that aims to use

wearable sensors to classify TB infection based on cough characteristics in real-world settings

The primary aim will be to collect continuous data with lab test ground truth to create an ML model diagnosing TB infection that is robust across situationally diverse conditions. Secondarily they will explore the use of biometrics from Fitbit data, and the use of generative AI as ways to create a more robust classifier.

Learn more about this exciting research on UW Department of Medicine's news site.