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A 2-way-ANOVA followed by Sidaks multiple comparison test assessed both NAC-treatment and IPTB-severity factors for each blood compartment and metabolite, while the non-parametric Kruskal-Wallis test was used to assess metabolite differences between blood compartments in each IPTB and treatment subgroup, followed by the Wilcoxon matched-pairs signed-rank test for multiple comparisons between maternal and paired-cord blood samples

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44 The most prevalent application of classical machine learning in healthcare is precision medicine, which forecasts the treatment procedures most likely to be effective for a patient by considering various patient characteristics and the context of the therapy (Kharb and Joshi)

Curr Top Cell Regul 2000, 36: 130