Machine learning for predicting climate change impacts on <i>Pseudopithomyces chartarum</i> spore counts: a risk indicator of facial eczema.

It should be noted, however, that the prediction did not account for uncertainties in farming practices over the next 80 years, including changes in flora, emergence of competing fungi, treatment options, consumer behaviour, farm management, economy, demography, or landscape, which may be significant.

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There was an increasing trend in the predicted peak spore counts as well as the duration of high-risk FE over the 80 years.

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