Robustness is measured by replicating studies under different conditions and in different laboratories. Consistency of results across multiple trials is a key indicator of robustness. Accuracy is measured using metrics such as sensitivity and specificity. Sensitivity measures the proportion of true positives correctly identified, while specificity measures the proportion of true negatives. High sensitivity and specificity are indicators of high diagnostic accuracy.
