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ANN models have been designed that predict risk of lymph node spread and capsular involvement during disease staging, risk of disease recurrence after prostatectomy, and overall and cause-specific survival.
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Primers were designed that were predicted to anneal to a region of rrs of Leptospira spp. belonging to pathogenic and intermediate groups but not to the non-pathogenic group.
A mixing model was designed that was capable of predicting RTD (residence time distribution) curves for different cases in non-isothermal conditions.
Three hundred and forty five (345) primer pairs were designed that were expected to amplify a gene predicted only by EuGene.
Four hundred and forty eight (448) primer pairs were designed that were expected to amplify a gene predicted only by Twinscan.
A new T7- dT 24 primer with a modified ITS was designed that shifts the artifactual motifs as predicted and reduces the effect of the artifact.
This paper describes an individual-based model, MORPH, that has been designed to predict the effect of environmental change on foraging animal populations.
The two risk scores we have developed are the first to our knowledge that have been designed to predict a consensus definition of AKI.
Researchers, clinicians, and scientists are increasingly interested in the statistical models that have been designed to predict the occurrence of endpoint events given the diagnostic risk factors.
Existing scores are limited in that they have been designed to predict only severe, or non-consensus AKI definitions and not less severe stages of AKI, which also have prognostic significance.
Tracking and reporting key metrics that have specifically been designed for predicting and measuring staffing activity.
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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