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Models – such as the one presented here – will be essential to be able to compare rules not only depending on the cell itself, but also for testing hypotheses based on variables depending on the tissue neighborhood such as growth and mechanical-based mechanisms.
Generation of a relevant mouse model is essential not only for the investigation of mechanism but also for testing potential therapeutic approaches.
In a recent paper detailing how to use meta-analysis as a solution to translational problems in animal research, the authors claim that animal studies are not only 'crucial' to understanding disease mechanisms but also for testing drugs for toxicity and efficacy [ 88].
The methods used are applicable not only for testing new samples but also for testing and feedback evaluation of the quality of explanted joint replacement components.
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These questions are important not only for the design of functional biopolymers by molecular evolutionary engineering but also for experimentally testing scenarios of biopolymer evolution.
Laurel Beckett, Danielle Harvey, and colleagues affiliated with the ADNI biostatistics core are finishing an analysis that emphasizes the need to compare markers on a common set of subjects and demonstrates a method not only for characterizing biomarkers but also for statistically testing for differences between measures.
Given some of the molecular targets involved (e.g. monoamine transporters, CB1 receptors, 5-HT2C receptorsuchsuch analyses should ideally include not only tests of feeding behaviour but also, for example, tests relevant to mood, sexual behaviour, and learning and memory.
This was not only found for verbal tests but also for nonverbal tests [18].
The development of a reliable diagnostic test would therefore not only be highly beneficial for clinical purposes, but also for the testing of response to new drug in animal models.
During this process, each sample is used not only for the training but also for the testing.
During the process, every sample is used not only for the training, but also for the testing.
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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