David Clifton, Yang Yang and co-workers have published a paper applying machine learning techniques to a large CRyPTIC dataset containing 13,402 isolates collected from 16 countries across 6 continents. The susceptibility of each isolate to 11 different anti-TB drugs had been tested.
Application of machine learning techniques to tuberculosis drug resistance analysisKouchaki, Samaneh, Yang, Yang, Walker, Timothy M., Sarah Walker, A, Wilson, Daniel J., Peto, Timothy E A, Crook, Derrick W., the CRyPTIC Consortium and Clifton, David A.
Bioinformatics, 35(13), 2019, 2276–2282
The paper is free to access and can be found here.