Machine Learning Algorithms Evaluate Immune Response to Novel Mycobacterium tuberculosis Antigens for Diagnosis of Tuberculosis
Published in Frontiers in Cellular and Infection Microbiology, 2021
Recommended citation: NR Meier, TM Sutter, M Jacobsen, THM Ottenhoff, JE Vogt, N Ritz. (2021) "Machine Learning Algorithms Evaluate Immune Response to Novel Mycobacterium tuberculosis Antigens for Diagnosis of Tuberculosis." Front. Cell. Infect. Microbiol.. 10(2020). https://www.frontiersin.org/articles/10.3389/fcimb.2020.594030/full
Identifying optimal antigen-cytokine combinations using novel Mycobacterium tuberculosis antigens and cytokine read-outs.
Recommended citation: NR Meier, TM Sutter, M Jacobsen, THM Ottenhoff, JE Vogt, N Ritz. (2021) “Machine Learning Algorithms Evaluate Immune Response to Novel Mycobacterium tuberculosis Antigens for Diagnosis of Tuberculosis.” Front. Cell. Infect. Microbiol.. 10(2020).