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This model predicted approximately 60% of myocardial washout (p < 0.001).
This model predicted approximately 37% of the variation in myocardial washout (p < 0.001).
This model predicted approximately 10% of late H/M (p = 0.03).
This model predicted approximately 30% of the variation in late H/M results (p < 0.0001).
Under current practice, our model predicted approximately one tetanus case per year among those who sought medical care in the ED for a wound.
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Using the euclidean 3D distance of 0.17 [nad] the in silico model predicts approximately 12 medulla axons under control conditions.
For two children who differ only in CYP2C9 genotype, the model predicts approximately a four-fold difference in dose between subjects having the wild-type genotype (CYP2C9*1/*1) and those being homozygous for the *3 allele (CYP2C9*3/*3).
For two children with the same age, bodyweight and CYP2C9 genotype, the model predicts approximately a two-fold difference in dose between a child carrying the VKORC1 −1639 G/G genotype and a child homozygous for the variant A allele.
Regardless of the style of acceleration, the models predict approximately 6 14 cm of marsh submergence in response to historical sea-level acceleration, and 3 4 cm of marsh submergence in response to a projected scenario of sea-level rise over the next century.
Perhaps most striking in these findings is that we were able to create a multivariate linear regression model that predicted approximately 20% of the variance in overall LOT-R scores.
The model predicted an approximately 14% removal of inlet toluene and 12% removal during operation was observed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com