By
NCSA
Published: March 20, 2019, 5:11 p.m.·
Tags:
Latent TB,
Diagnostics
A collaboration between the National Center for Supercomputing Applications (NCSA) at the University of Illinois, Mayo Clinic, and the University of Michigan are introducing a new machine-learning-driven approach to latent tuberculosis infections (LTBI) diagnostics. While leveraging a high throughput detection technology and powerful bioinformatics, this approach aims to reveal multi-marker signatures for LTBI diagnosis and risk stratification.
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