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Recently, Wei et al. reported that prediction performance is varied by the number of variants used [ 10], demonstrating that selection of number of variants for the prediction is important to predict the risk of phenotypes.
The relationship between genotype and phenotype in monogenic diseases is important to predict the onset, penetrance, and severity of diseases.
Knowledge of fluid pressure is important to predict the presence of oil and gas in reservoirs.
Understanding the underlying mechanism is important to predict and mitigate this unfavorable phenomenon.
It is important to predict the hidden failure of a complex engineering system.
Therefore it is important to predict reliability of systems already at design phase.
Since unstable plumes contaminate larger regions of an aquifer, it is important to predict when gravitational instabilities will occur.
Hence, it is important to predict the domain patterns, stray fields, and mechanical stresses that form in these geometries.
Therefore, in the early stage of drug development, it is important to predict these risks using an in silico approach.
Describing the transmission characteristics of this novel influenza A virus is important to predict current, and future, disease spread.
In the refining of petroleum it is important to predict the distribution of the products and their quality.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com