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Samples were subjected to a reverse phase Symmetry C18 HPLC column (4.6 250 mm, Waters) at the flow rate of 1.0 ml/min

Mullarky, E

The worst performing method was Decision Trees with an accuracy of 0.675, precision of 0.571, recall of 0.599, F1 score of 0.570 and ROC-AUC of 0.654 Conclusion: Using machine learning methods, we were able to predict the presence of fatty liver disease with high accuracy, precision, and recall

Wheat ( Triticum aestivum L.) is one of the most important grain crops in the world

We demonstrated that at 0.4% hematocrit, there is an exacerbated increase in PS exposure and hemolysis induced by BAY 43-9006, when compared to 4% hematocrit ( Figure 1 )

Therefore, when assessing the health risks of MPs, it is essential to consider the combined effects of an individuals initial microbiota state, dietary structure, genetic susceptibility, and co-exposure to environmental factors (Fig