Prediction of lymph node parasite load from clinical data in dogs with leishmaniasis: An application of radial basis artificial neural networks.

•Leishmania infantum load was predicted from clinical data by a radial basis artificial neural network.•Predictions were unbiased and non-inflated, with an accuracy of 0.869.•When qPCR is unavailable, parasite load can be estimated using machine learning techniques.