Algorithms
New Framework for Understanding Tuberculosis Diagnostics Released by Johns Hopkins University Researchers
Researchers at Johns Hopkins University have published a new report on tuberculosis diagnostics, highlighting the importance of characterizing the disease spectrum and its impact on diagnostic algorithm performance. The study emphasizes the need to consider not only the numerical accuracy of diagnostic assays but also the characteristics of the disease