A team of researchers at OUCRU has pioneered a novel, microbiological assay-independent diagnostic model for Adult Tuberculous Meningitis (TBM), leveraging Bayesian latent class analysis to improve the accuracy of diagnoses. This innovative approach, recently published in BMC Infectious Diseases, promises to enhance the detection and treatment of one of the most severe forms of tuberculosis (TB).
The post OUCRU Researchers Develop Novel Diagnostic Tool for Adult Tuberculous Meningitis appeared first on OUCRU.