Key result
FmdNspPred model predicts FMD virus exposure via cutoff-independent logistic regression of 2B NSP-ELISA data.
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Das et al. (2026) studied Foot-and-mouth disease (FMD) virus exposure (n=1,793). FmdNspPred computational model vs. Empirical, Bootstrap, and OptimalCutpoints methods was evaluated on Accuracy of predicting FMD virus exposure. The FmdNspPred computational model provided a cutoff-independent logistic regression approach for predicting Foot-and-mouth disease virus exposure in susceptible animals using 2B NSP-ELISA data.
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