Improving Bovine Tuberculosis Diagnosis through Machine Learning-Augmented Skin Testing

Incorporating herd-level epidemiological risk factors into the interpretation of the standard skin test for bovine tuberculosis can substantially improve the sensitivity of disease detection without compromising specificity.