The global End TB Strategy aims to reduce new TB incidence by 90% in 2035. Achieving the goals requires concerted innovations in several disciplines.
This symposium aims to provide a scientific interacting platform for those who are interested in applying their knowledge and technology in advancing TB control. The symposium maintains coverage on the advancement of molecular biology similar to the previous symposiums held in Saint Petersburg; it has expanded its scope to include more disciplines. The symposium is timely with the current scientific progresses, including the generation of a large amount of bacterial and patient whole genome data as well as the advancement of artificial intelligence particularly deep learning.
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