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Optimizing Tuberculosis Screening with a Risk Prediction Model

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April 16, 2025
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The following is a summary of “Development and validation of prediction algorithm to identify tuberculosis in two large California health systems,” published in the April 2025 issue of Nature Communications by Fischer et al.  California data demonstrated shortcomings in latent tuberculosis (TB) screening for preventing disease progression.   Researchers conducted a retrospective study to develop a […]

The post Optimizing Tuberculosis Screening with a Risk Prediction Model first appeared on Physician’s Weekly.

 

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